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Update developer documentation #563

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Improve the development documentation of RL and Simulator part

Jinyu-W and others added 30 commits May 28, 2021 04:27
…r schedule registration in core model; 3. added parallel policy manager prorotype
yaqiu and others added 25 commits October 12, 2021 12:36
* update docker hub init (microsoft#367)

* update docker hub init

* replace personal account with maro-team

* update hello files for CIM

* update docker repository name

* update docker file name

* fix bugs in notebook, rectify docs

* fix doc build issue

* remove docs from playground; fix citibike lp example Event issue

* update the exampel for vector env

* update vector env example

* update README due to PR comments

* add link to playground above MARO installation in README

* fix some typos

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* update README for package description

* update image links for pypi package description

* update image links for pypi package description

* change the input topology schema for CIM real data mode (microsoft#372)

* change the input topology schema for CIM real data mode

* remove unused importing

* update test config file correspondingly

* add Exception for env test

* add cost factors to cim data dump

* update CimDataCollection field name

* update field name of data collection related code

* update package version

* adjust interface to reflect actual signature (microsoft#374)

Co-authored-by: Jeremy Reynolds <[email protected]>

* update dataclasses requirement to setup

* fix: fixing spelling grammarr

* fix: fix typo spelling code commented and data_model.rst

* Fix Geo vis IP address & SQL logic bugs. (microsoft#383)

Fix Geo vis IP address & SQL logic bugs (issue [352](microsoft#352) and [314](microsoft#314)).

* Fix the "Wrong future stop tick predictions" bug (microsoft#386)

* Propose my new solution

Refine to the pre-process version

.

* Optimize import

* Fix reset random seed bug (microsoft#387)

* update the reset interface of Env and BE

* Try to fix reset routes generation seed issue

* Refine random related logics.

* Minor refinement

* Test check

* Minor

* Remove unused functions so far

* Minor

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* Add _init_vessel_plans in business_engine.reset (microsoft#388)

* update package version

* change the default solver used in Citibike OnlineLP example, from GLPK to CBC (microsoft#391)

Co-authored-by: Jinyu Wang <[email protected]>

* Refine `event_buffer/` module (microsoft#389)

* Core & Business Engine code refinement (microsoft#392)

* First version

* Optimize imports

* Add typehint

* Lint check

* Lint check

* add higher python version (microsoft#398)

* add higher python version

* update pytorch version

* update torchvision version

Co-authored-by: Jinyu Wang <[email protected]>

* CIM scenario refinement (microsoft#400)

* Cim scenario refinement (microsoft#394)

* CIM refinement

* Fix lint error

* Fix lint error

* Cim test coverage (microsoft#395)

* Enrich tests

* Refactor CimDataGenerator

* Refactor CIM parsers

* Minor refinement

* Fix lint error

* Fix lint error

* Fix lint error

* Minor refactor

* Type

* Add two test file folders. Make a slight change to CIM BE.

* Lint error

* Lint error

* Remove unnecessary public interfaces of CIM BE

* Cim disable auto action type detection (microsoft#399)

* Haven't been tested

* Modify document

* Add ActionType checking

* Minor

* Lint error

* Action quantity should be a position number

* Modify related docs & notebooks

* Minor

* Change test file name. Prepare to merge into master.

* .

* Minor test patch

* Add `clear()` function to class `SimRandom` (microsoft#401)

* Add SimRandom.clear()

* Minor

* Remove commented codes

* Lint error

* update package version

* Minor

* Remove docs/source/examples/multi_agent_dqn_cim.rst

* Update .gitignore

* Update .gitignore

Co-authored-by: Jinyu-W <[email protected]>
Co-authored-by: Jinyu Wang <[email protected]>
Co-authored-by: Jinyu Wang <[email protected]>
Co-authored-by: Jeremy Reynolds <[email protected]>
Co-authored-by: Jeremy Reynolds <[email protected]>
Co-authored-by: slowy07 <[email protected]>
* Change Env.set_seed() logic

* Redesign CIM reset logic; fix lint issues;

* Lint

* Seed type assertion
* added daemon=True for multi-process rollout, policy manager and inference

* removed obsolete files

* [REDO][PR#406]V0.2 rl refinement taskq (microsoft#408)

* Add a usable task_queue

* Rename some variables

* 1. Add ; 2. Integrate  related files; 3. Remove

* merge `data_parallel` and `num_grad_workers` into `data_parallelism`

* Fix bugs in docker_compose_yml.py and Simple/Multi-process mode.

* Move `grad_worker` into marl/rl/workflows

* 1.Merge data_parallel and num_workers into data_parallelism in config; 2.Assign recently used workers as possible in task_queue.

* Refine code and update docs of `TaskQueue`

* Support priority for tasks in `task_queue`

* Update diagram of policy manager and task queue.

* Add configurable `single_task_limit` and correct docstring about `data_parallelism`

* Fix lint errors in `supply chain`

* RL policy redesign (V2) (microsoft#405)

* Drafi v2.0 for V2

* Polish models with more comments

* Polish policies with more comments

* Lint

* Lint

* Add developer doc for models.

* Add developer doc for policies.

* Remove policy manager V2 since it is not used and out-of-date

* Lint

* Lint

* refined messy workflow code

* merged 'scenario_dir' and 'scenario' in rl config

* 1. refined env_sampler and agent_wrapper code; 2. added docstrings for env_sampler methods

* 1. temporarily renamed RLPolicy from polivy_v2 to RLPolicyV2; 2. merged env_sampler and env_sampler_v2

* merged cim and cim_v2

* lint issue fix

* refined logging logic

* lint issue fix

* reversed unwanted changes

* .

.

.

.

ReplayMemory & IndexScheduler

ReplayMemory & IndexScheduler

.

MultiReplayMemory

get_actions_with_logps

EnvSampler on the road

EnvSampler

Minor

* LearnerManager

* Use batch to transfer data & add SHAPE_CHECK_FLAG

* Rename learner to trainer

* Add property for policy._is_exploring

* CIM test scenario for V3. Manual test passed. Next step: run it, make it works.

* env_sampler.py could run

* env_sampler refine on the way

* First runnable version done

* AC could run, but the result is bad. Need to check the logic

* Refine abstract method & shape check error info.

* Docs

* Very detailed compare. Try again.

* AC done

* DQN check done

* Minor

* DDPG, not tested

* Minors

* A rough draft of MAAC

* Cannot use CIM as the multi-agent scenario.

* Minor

* MAAC refinement on the way

* Remove ActionWithAux

* Refine batch & memory

* MAAC example works

* Reproduce-able fix. Policy share between env_sampler and trainer_manager.

* Detail refinement

* Simplify the user configed workflow

* Minor

* Refine example codes

* Minor polishment

* Migrate rollout_manager to V3

* Error on the way

* Redesign torch.device management

* Rl v3 maddpg (microsoft#418)

* Add MADDPG trainer

* Fit independent critics and shared critic modes.

* Add a new property: num_policies

* Lint

* Fix a bug in `sum(rewards)`

* Rename `MADDPG` to `DiscreteMADDPG` and fix type hint.

* Rename maddpg in examples.

* Preparation for data parallel (microsoft#420)

* Preparation for data parallel

* Minor refinement & lint fix

* Lint

* Lint

* rename atomic_get_batch_grad to get_batch_grad

* Fix a unexpected commit

* distributed maddpg

* Add critic worker

* Minor

* Data parallel related minorities

* Refine code structure for trainers & add more doc strings

* Revert a unwanted change

* Use TrainWorker to do the actual calculations.

* Some minor redesign of the worker's abstraction

* Add set/get_policy_state_dict back

* Refine set/get_policy_state_dict

* Polish policy trainers

move train_batch_size to abs trainer
delete _train_step_impl()
remove _record_impl
remove unused methods
a minor bug fix in maddpg

* Rl v3 data parallel grad worker (microsoft#432)

* Fit new `trainer_worker` in `grad_worker` and `task_queue`.

* Add batch dispatch

* Add `tensor_dict` for task submit interface

* Move `_remote_learn` to `AbsTrainWorker`.

* Complement docstring for task queue and trainer.

* Rename train worker to train ops; add placeholder for abstract methods;

* Lint

Co-authored-by: GQ.Chen <[email protected]>

* [DRAFT] distributed training pipeline based on RL Toolkit V3 (microsoft#450)

* Preparation for data parallel

* Minor refinement & lint fix

* Lint

* Lint

* rename atomic_get_batch_grad to get_batch_grad

* Fix a unexpected commit

* distributed maddpg

* Add critic worker

* Minor

* Data parallel related minorities

* Refine code structure for trainers & add more doc strings

* Revert a unwanted change

* Use TrainWorker to do the actual calculations.

* Some minor redesign of the worker's abstraction

* Add set/get_policy_state_dict back

* Refine set/get_policy_state_dict

* Polish policy trainers

move train_batch_size to abs trainer
delete _train_step_impl()
remove _record_impl
remove unused methods
a minor bug fix in maddpg

* Rl v3 data parallel grad worker (microsoft#432)

* Fit new `trainer_worker` in `grad_worker` and `task_queue`.

* Add batch dispatch

* Add `tensor_dict` for task submit interface

* Move `_remote_learn` to `AbsTrainWorker`.

* Complement docstring for task queue and trainer.

* dsitributed training pipeline draft

* added temporary test files for review purposes

* Several code style refinements (microsoft#451)

* Polish rl_v3/utils/

* Polish rl_v3/distributed/

* Polish rl_v3/policy_trainer/abs_trainer.py

* fixed merge conflicts

* unified sync and async interfaces

* refactored rl_v3; refinement in progress

* Finish the runnable pipeline under new design

* Remove outdated files; refine class names; optimize imports;

* Lint

* Minor maddpg related refinement

* Lint

Co-authored-by: Default <[email protected]>
Co-authored-by: Huoran Li <[email protected]>
Co-authored-by: GQ.Chen <[email protected]>
Co-authored-by: ysqyang <[email protected]>

* Miner bug fix

* Coroutine-related bug fix ("get_policy_state") (microsoft#452)

* fixed rebase conflicts

* renamed get_policy_func_dict to policy_creator

* deleted unwanted folder

* removed unwanted changes

* resolved PR452 comments

Co-authored-by: ysqyang <[email protected]>

* Quick fix

* Redesign experience recording logic (microsoft#453)

* Two not important fix

* Temp draft. Prepare to WFH

* Done

* Lint

* Lint

* Calculating advantages / returns (microsoft#454)

* V1.0

* Complete DDPG

* Rl v3 hanging issue fix (microsoft#455)

* fixed rebase conflicts

* renamed get_policy_func_dict to policy_creator

* unified worker interfaces

* recovered some files

* dist training + cli code move

* fixed bugs

* added retry logic to client

* 1. refactored CIM with various algos; 2. lint

* lint

* added type hint

* removed some logs

* lint

* Make main.py more IDE friendly

* Make main.py more IDE friendly

* Lint

* Final test & format. Ready to merge.

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>
Co-authored-by: Huoran Li <[email protected]>

* Rl v3 parallel rollout (microsoft#457)

* fixed rebase conflicts

* renamed get_policy_func_dict to policy_creator

* unified worker interfaces

* recovered some files

* dist training + cli code move

* fixed bugs

* added retry logic to client

* 1. refactored CIM with various algos; 2. lint

* lint

* added type hint

* removed some logs

* lint

* Make main.py more IDE friendly

* Make main.py more IDE friendly

* Lint

* load balancing dispatcher

* added parallel rollout

* lint

* Tracker variable type issue; rename to env_sampler_creator;

* Rl v3 parallel rollout follow ups (microsoft#458)

* AbsWorker & AbsDispatcher

* Pass env idx to AbsTrainer.record() method, and let the trainer to decide how to record experiences sampled from different worlds.

* Fix policy_creator reuse bug

* Format code

* Merge AbsTrainerManager & SimpleTrainerManager

* AC test passed

* Lint

* Remove AbsTrainer.build() method. Put all initialization operations into __init__

* Redesign AC preprocess batches logic

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>
Co-authored-by: Huoran Li <[email protected]>

* MADDPG performance bug fix (microsoft#459)

* Fix MARL (MADDPG) terminal recording bug; some other minor refinements;

* Restore Trainer.build() method

* Calculate latest action in the get_actor_grad method in MADDPG.

* Share critic bug fix

* Rl v3 example update (microsoft#461)

* updated vm_scheduling example and cim notebook

* fixed bugs in vm_scheduling

* added local train method

* bug fix

* modified async client logic to fix hidden issue

* reverted to default config

* fixed PR comments and some bugs

* removed hardcode

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* Done (microsoft#462)

* Rl v3 load save (microsoft#463)

* added load/save feature

* fixed some bugs

* reverted unwanted changes

* lint

* fixed PR comments

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* RL Toolkit data parallelism revamp & config utils (microsoft#464)

* added load/save feature

* fixed some bugs

* reverted unwanted changes

* lint

* fixed PR comments

* 1. fixed data parallelism issue; 2. added config validator; 3. refactored cli local

* 1. fixed rollout exit issue; 2. refined config

* removed config file from example

* fixed lint issues

* fixed lint issues

* added main.py under examples/rl

* fixed lint issues

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* RL doc string (microsoft#465)

* First rough draft

* Minors

* Reformat

* Lint

* Resolve PR comments

* Rl type specific env getter (microsoft#466)

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* fixed bugs

* fixed bugs

* bug fixes

* lint

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* Example bug fix

* Optimize parser.py

* Resolve PR comments

* Rl config doc (microsoft#467)

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* added detailed doc

* lint

* wording refined

* resolved some PR comments

* resolved more PR comments

* typo fix

Co-authored-by: ysqyang <[email protected]>

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* RL online doc (microsoft#469)

* Model, policy, trainer

* RL workflows and env sampler doc in RST (microsoft#468)

* First rough draft

* Minors

* Reformat

* Lint

* Resolve PR comments

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* Rl type specific env getter (microsoft#466)

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* fixed bugs

* fixed bugs

* bug fixes

* lint

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* Example bug fix

* Optimize parser.py

* Resolve PR comments

* added detailed doc

* lint

* wording refined

* resolved some PR comments

* rewriting rl toolkit rst

* resolved more PR comments

* typo fix

* updated rst

Co-authored-by: Huoran Li <[email protected]>
Co-authored-by: Default <[email protected]>
Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* Finish docs/source/key_components/rl_toolkit.rst

* API doc

* RL online doc image fix (microsoft#470)

* resolved some PR comments

* fix

* fixed PR comments

* added numfig=True setting in conf.py for sphinx

Co-authored-by: ysqyang <[email protected]>

* Resolve PR comments

* Add example github link

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* Rl v3 pr comment resolution (microsoft#474)

* added load/save feature

* 1. resolved pr comments; 2. reverted maro/cli/k8s

* fixed some bugs

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

Co-authored-by: yaqiu <[email protected]>
Co-authored-by: GQ.Chen <[email protected]>
Co-authored-by: ysqyang <[email protected]>
Co-authored-by: ysqyang <[email protected]>
* Change all Logger in RL to LoggerV2

* TrainerManager => TrainingManager

* Add Trainer suffix to all algorithms

* Finish docs

* Update interface names

* Minor fix
* Cherry pick

* Remove SC related files
…microsoft#509)

* Cherry pick RL changes from sc_refinement (2a4869)

* Limit time display precision
* Refactor rollout logic. Allow multiple sampling in one epoch, so that we can generate more data for training.

AC & PPO for continuous action policy; refine AC & PPO logic.

Cherry pick RL changes from GYM-DDPG

Cherry pick RL changes from GYM-SAC

Minor error in doc string

* Add min_n_sample in template and parser

* Resolve PR comments. Fix a minor issue in SAC.
* CIM passed

* Update workers

* Refine annotations

* VM passed

* Code formatting.

* Minor import loop issue

* Pass batch in PPO again

* Remove Scenario

* Complete docs

* Minor

* Remove segment

* Optimize logic in RLComponentBundle

* Resolve PR comments

* Move 'post methods from RLComponenetBundle to EnvSampler
…#415)

* add method to get mapping of available tick to frame index

* fix lint issue

* fix naming issue
* Cherry pick from sc_refinement

* Cherry pick from sc_refinement
* Optimize RL toolkit

* Fix bug in terminal/next_state generation

* Rewrite terminal/next_state logic again

* Minor renaming

* Minor bug fix

* Resolve PR comments
* update docker hub init (microsoft#367)

* update docker hub init

* replace personal account with maro-team

* update hello files for CIM

* update docker repository name

* update docker file name

* fix bugs in notebook, rectify docs

* fix doc build issue

* remove docs from playground; fix citibike lp example Event issue

* update the exampel for vector env

* update vector env example

* update README due to PR comments

* add link to playground above MARO installation in README

* fix some typos

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* update README for package description

* update image links for pypi package description

* update image links for pypi package description

* change the input topology schema for CIM real data mode (microsoft#372)

* change the input topology schema for CIM real data mode

* remove unused importing

* update test config file correspondingly

* add Exception for env test

* add cost factors to cim data dump

* update CimDataCollection field name

* update field name of data collection related code

* update package version

* adjust interface to reflect actual signature (microsoft#374)

Co-authored-by: Jeremy Reynolds <[email protected]>

* update dataclasses requirement to setup

* fix: fixing spelling grammarr

* fix: fix typo spelling code commented and data_model.rst

* Fix Geo vis IP address & SQL logic bugs. (microsoft#383)

Fix Geo vis IP address & SQL logic bugs (issue [352](microsoft#352) and [314](microsoft#314)).

* Fix the "Wrong future stop tick predictions" bug (microsoft#386)

* Propose my new solution

Refine to the pre-process version

.

* Optimize import

* Fix reset random seed bug (microsoft#387)

* update the reset interface of Env and BE

* Try to fix reset routes generation seed issue

* Refine random related logics.

* Minor refinement

* Test check

* Minor

* Remove unused functions so far

* Minor

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* Add _init_vessel_plans in business_engine.reset (microsoft#388)

* update package version

* change the default solver used in Citibike OnlineLP example, from GLPK to CBC (microsoft#391)

Co-authored-by: Jinyu Wang <[email protected]>

* Refine `event_buffer/` module (microsoft#389)

* Core & Business Engine code refinement (microsoft#392)

* First version

* Optimize imports

* Add typehint

* Lint check

* Lint check

* add higher python version (microsoft#398)

* add higher python version

* update pytorch version

* update torchvision version

Co-authored-by: Jinyu Wang <[email protected]>

* CIM scenario refinement (microsoft#400)

* Cim scenario refinement (microsoft#394)

* CIM refinement

* Fix lint error

* Fix lint error

* Cim test coverage (microsoft#395)

* Enrich tests

* Refactor CimDataGenerator

* Refactor CIM parsers

* Minor refinement

* Fix lint error

* Fix lint error

* Fix lint error

* Minor refactor

* Type

* Add two test file folders. Make a slight change to CIM BE.

* Lint error

* Lint error

* Remove unnecessary public interfaces of CIM BE

* Cim disable auto action type detection (microsoft#399)

* Haven't been tested

* Modify document

* Add ActionType checking

* Minor

* Lint error

* Action quantity should be a position number

* Modify related docs & notebooks

* Minor

* Change test file name. Prepare to merge into master.

* .

* Minor test patch

* Add `clear()` function to class `SimRandom` (microsoft#401)

* Add SimRandom.clear()

* Minor

* Remove commented codes

* Lint error

* update package version

* add branch v0.3 to github workflow

* update github test workflow

* Update requirements.dev.txt (microsoft#444)

Added the versions of dependencies and resolve some conflicts occurs when installing. By adding these version number it will tell you the exact.

* Bump ipython from 7.10.1 to 7.16.3 in /notebooks (microsoft#460)

Bumps [ipython](https://github.com/ipython/ipython) from 7.10.1 to 7.16.3.
- [Release notes](https://github.com/ipython/ipython/releases)
- [Commits](ipython/ipython@7.10.1...7.16.3)

---
updated-dependencies:
- dependency-name: ipython
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Add & sort requirements.dev.txt

Co-authored-by: Jinyu-W <[email protected]>
Co-authored-by: Jinyu Wang <[email protected]>
Co-authored-by: Jinyu Wang <[email protected]>
Co-authored-by: Jeremy Reynolds <[email protected]>
Co-authored-by: Jeremy Reynolds <[email protected]>
Co-authored-by: slowy07 <[email protected]>
Co-authored-by: solosilence <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* update docker hub init (microsoft#367)

* update docker hub init

* replace personal account with maro-team

* update hello files for CIM

* update docker repository name

* update docker file name

* fix bugs in notebook, rectify docs

* fix doc build issue

* remove docs from playground; fix citibike lp example Event issue

* update the exampel for vector env

* update vector env example

* update README due to PR comments

* add link to playground above MARO installation in README

* fix some typos

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* update README for package description

* update image links for pypi package description

* update image links for pypi package description

* change the input topology schema for CIM real data mode (microsoft#372)

* change the input topology schema for CIM real data mode

* remove unused importing

* update test config file correspondingly

* add Exception for env test

* add cost factors to cim data dump

* update CimDataCollection field name

* update field name of data collection related code

* update package version

* adjust interface to reflect actual signature (microsoft#374)

Co-authored-by: Jeremy Reynolds <[email protected]>

* update dataclasses requirement to setup

* fix: fixing spelling grammarr

* fix: fix typo spelling code commented and data_model.rst

* Fix Geo vis IP address & SQL logic bugs. (microsoft#383)

Fix Geo vis IP address & SQL logic bugs (issue [352](microsoft#352) and [314](microsoft#314)).

* Fix the "Wrong future stop tick predictions" bug (microsoft#386)

* Propose my new solution

Refine to the pre-process version

.

* Optimize import

* Fix reset random seed bug (microsoft#387)

* update the reset interface of Env and BE

* Try to fix reset routes generation seed issue

* Refine random related logics.

* Minor refinement

* Test check

* Minor

* Remove unused functions so far

* Minor

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* Add _init_vessel_plans in business_engine.reset (microsoft#388)

* update package version

* change the default solver used in Citibike OnlineLP example, from GLPK to CBC (microsoft#391)

Co-authored-by: Jinyu Wang <[email protected]>

* Refine `event_buffer/` module (microsoft#389)

* Core & Business Engine code refinement (microsoft#392)

* First version

* Optimize imports

* Add typehint

* Lint check

* Lint check

* add higher python version (microsoft#398)

* add higher python version

* update pytorch version

* update torchvision version

Co-authored-by: Jinyu Wang <[email protected]>

* CIM scenario refinement (microsoft#400)

* Cim scenario refinement (microsoft#394)

* CIM refinement

* Fix lint error

* Fix lint error

* Cim test coverage (microsoft#395)

* Enrich tests

* Refactor CimDataGenerator

* Refactor CIM parsers

* Minor refinement

* Fix lint error

* Fix lint error

* Fix lint error

* Minor refactor

* Type

* Add two test file folders. Make a slight change to CIM BE.

* Lint error

* Lint error

* Remove unnecessary public interfaces of CIM BE

* Cim disable auto action type detection (microsoft#399)

* Haven't been tested

* Modify document

* Add ActionType checking

* Minor

* Lint error

* Action quantity should be a position number

* Modify related docs & notebooks

* Minor

* Change test file name. Prepare to merge into master.

* .

* Minor test patch

* Add `clear()` function to class `SimRandom` (microsoft#401)

* Add SimRandom.clear()

* Minor

* Remove commented codes

* Lint error

* update package version

* add branch v0.3 to github workflow

* update github test workflow

* Update requirements.dev.txt (microsoft#444)

Added the versions of dependencies and resolve some conflicts occurs when installing. By adding these version number it will tell you the exact.

* Bump ipython from 7.10.1 to 7.16.3 in /notebooks (microsoft#460)

Bumps [ipython](https://github.com/ipython/ipython) from 7.10.1 to 7.16.3.
- [Release notes](https://github.com/ipython/ipython/releases)
- [Commits](ipython/ipython@7.10.1...7.16.3)

---
updated-dependencies:
- dependency-name: ipython
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* update github woorkflow config

* MARO v0.3: a new design of RL Toolkit, CLI refactorization, and corresponding updates. (microsoft#539)

* refined proxy coding style

* updated images and refined doc

* updated images

* updated CIM-AC example

* refined proxy retry logic

* call policy update only for AbsCorePolicy

* add limitation of AbsCorePolicy in Actor.collect()

* refined actor to return only experiences for policies that received new experiences

* fix MsgKey issue in rollout_manager

* fix typo in learner

* call exit function for parallel rollout manager

* update supply chain example distributed training scripts

* 1. moved exploration scheduling to rollout manager; 2. fixed bug in lr schedule registration in core model; 3. added parallel policy manager prorotype

* reformat render

* fix supply chain business engine action type problem

* reset supply chain example render figsize from 4 to 3

* Add render to all modes of supply chain example

* fix or policy typos

* 1. added parallel policy manager prototype; 2. used training ep for evaluation episodes

* refined parallel policy manager

* updated rl/__init__/py

* fixed lint issues and CIM local learner bugs

* deleted unwanted supply_chain test files

* revised default config for cim-dqn

* removed test_store.py as it is no longer needed

* 1. changed Actor class to rollout_worker function; 2. renamed algorithm to algorithms

* updated figures

* removed unwanted import

* refactored CIM-DQN example

* added MultiProcessRolloutManager and MultiProcessTrainingManager

* updated doc

* lint issue fix

* lint issue fix

* fixed import formatting

* [Feature] Prioritized Experience Replay (microsoft#355)

* added prioritized experience replay

* deleted unwanted supply_chain test files

* fixed import order

* import fix

* fixed lint issues

* fixed import formatting

* added note in docstring that rank-based PER has yet to be implemented

Co-authored-by: ysqyang <[email protected]>

* rm AbsDecisionGenerator

* small fixes

* bug fix

* reorganized training folder structure

* fixed lint issues

* fixed lint issues

* policy manager refined

* lint fix

* restructured CIM-dqn sync code

* added policy version index and used it as a measure of experience staleness

* lint issue fix

* lint issue fix

* switched log_dir and proxy_kwargs order

* cim example refinement

* eval schedule sorted only when it's a list

* eval schedule sorted only when it's a list

* update sc env wrapper

* added docker scripts for cim-dqn

* refactored example folder structure and added workflow templates

* fixed lint issues

* fixed lint issues

* fixed template bugs

* removed unused imports

* refactoring sc in progress

* simplified cim meta

* fixed build.sh path bug

* template refinement

* deleted obsolete svgs

* updated learner logs

* minor edits

* refactored templates for easy merge with async PR

* added component names for rollout manager and policy manager

* fixed incorrect position to add last episode to eval schedule

* added max_lag option in templates

* formatting edit in docker_compose_yml script

* moved local learner and early stopper outside sync_tools

* refactored rl toolkit folder structure

* refactored rl toolkit folder structure

* moved env_wrapper and agent_wrapper inside rl/learner

* refined scripts

* fixed typo in script

* changes needed for running sc

* removed unwanted imports

* config change for testing sc scenario

* changes for perf testing

* Asynchronous Training (microsoft#364)

* remote inference code draft

* changed actor to rollout_worker and updated init files

* removed unwanted import

* updated inits

* more async code

* added async scripts

* added async training code & scripts for CIM-dqn

* changed async to async_tools to avoid conflict with python keyword

* reverted unwanted change to dockerfile

* added doc for policy server

* addressed PR comments and fixed a bug in docker_compose_yml.py

* fixed lint issue

* resolved PR comment

* resolved merge conflicts

* added async templates

* added proxy.close() for actor and policy_server

* fixed incorrect position to add last episode to eval schedule

* reverted unwanted changes

* added missing async files

* rm unwanted echo in kill.sh

Co-authored-by: ysqyang <[email protected]>

* renamed sync to synchronous and async to asynchronous to avoid conflict with keyword

* added missing policy version increment in LocalPolicyManager

* refined rollout manager recv logic

* removed a debugging print

* added sleep in distributed launcher to avoid hanging

* updated api doc and rl toolkit doc

* refined dynamic imports using importlib

* 1. moved policy update triggers to policy manager; 2. added version control in policy manager

* fixed a few bugs and updated cim RL example

* fixed a few more bugs

* added agent wrapper instantiation to workflows

* added agent wrapper instantiation to workflows

* removed abs_block and added max_prob option for DiscretePolicyNet and DiscreteACNet

* fixed incorrect get_ac_policy signature for CIM

* moved exploration inside core policy

* added state to exploration call to support context-dependent exploration

* separated non_rl_policy_index and rl_policy_index in workflows

* modified sc example code according to workflow changes

* modified sc example code according to workflow changes

* added replay_agent_ids parameter to get_env_func for RL examples

* fixed a few bugs

* added maro/simulator/scenarios/supply_chain as bind mount

* added post-step, post-collect, post-eval and post-update callbacks

* fixed lint issues

* fixed lint issues

* moved instantiation of policy manager inside simple learner

* fixed env_wrapper get_reward signature

* minor edits

* removed get_eperience kwargs from env_wrapper

* 1. renamed step_callback to post_step in env_wrapper; 2. added get_eval_env_func to RL workflows

* added rollout exp disribution option in RL examples

* removed unwanted files

* 1. made logger internal in learner; 2 removed logger creation in abs classes

* checked out supply chain test files from v0.2_sc

* 1. added missing model.eval() to choose_action; 2.added entropy features to AC

* fixed a bug in ac entropy

* abbreviated coefficient to coeff

* removed -dqn from job name in rl example config

* added tmp patch to dev.df

* renamed image name for running rl examples

* added get_loss interface for core policies

* added policy manager in rl_toolkit.rst

* 1. env_wrapper bug fix; 2. policy manager update logic refinement

* refactored policy and algorithms

* policy interface redesigned

* refined policy interfaces

* fixed typo

* fixed bugs in refactored policy interface

* fixed some bugs

* refactoring in progress

* policy interface and policy manager redesigned

* 1. fixed bugs in ac and pg; 2. fixed bugs rl workflow scripts

* fixed bug in distributed policy manager

* fixed lint issues

* fixed lint issues

* added scipy in setup

* 1. trimmed rollout manager code; 2. added option to docker scripts

* updated api doc for policy manager

* 1. simplified rl/learning code structure; 2. fixed bugs in rl example docker script

* 1. simplified rl example structure; 2. fixed lint issues

* further rl toolkit code simplifications

* more numpy-based optimization in RL toolkit

* moved replay buffer inside policy

* bug fixes

* numpy optimization and associated refactoring

* extracted shaping logic out of env_sampler

* fixed bug in CIM shaping and lint issues

* preliminary implemetation of parallel batch inference

* fixed bug in ddpg transition recording

* put get_state, get_env_actions, get_reward back in EnvSampler

* simplified exploration and core model interfaces

* bug fixes and doc update

* added improve() interface for RLPolicy for single-thread support

* fixed simple policy manager bug

* updated doc, rst, notebook

* updated notebook

* fixed lint issues

* fixed entropy bugs in ac.py

* reverted to simple policy manager as default

* 1. unified single-thread and distributed mode in learning_loop.py; 2. updated api doc for algorithms and rst for rl toolkit

* fixed lint issues and updated rl toolkit images

* removed obsolete images

* added back agent2policy for general workflow use

* V0.2 rl refinement dist (microsoft#377)

* Support `slice` operation in ExperienceSet

* Support naive distributed policy training by proxy

* Dynamically allocate trainers according to number of experience

* code check

* code check

* code check

* Fix a bug in distributed trianing with no gradient

* Code check

* Move Back-Propagation from trainer to policy_manager and extract trainer-allocation strategy

* 1.call allocate_trainer() at first of update(); 2.refine according to code review

* Code check

* Refine code with new interface

* Update docs of PolicyManger and ExperienceSet

* Add images for rl_toolkit docs

* Update diagram of PolicyManager

* Refine with new interface

* Extract allocation strategy into `allocation_strategy.py`

* add `distributed_learn()` in policies for data-parallel training

* Update doc of RL_toolkit

* Add gradient workers for data-parallel

* Refine code and update docs

* Lint check

* Refine by comments

* Rename `trainer` to `worker`

* Rename `distributed_learn` to `learn_with_data_parallel`

* Refine allocator and remove redundant code in policy_manager

* remove arugments in allocate_by_policy and so on

* added checkpointing for simple and multi-process policy managers

* 1. bug fixes in checkpointing; 2. removed version and max_lag in rollout manager

* added missing set_state and get_state for CIM policies

* removed blank line

* updated RL workflow README

* Integrate `data_parallel` arguments into `worker_allocator` (microsoft#402)

* 1. simplified workflow config; 2. added comments to CIM shaping

* lint issue fix

* 1. added algorithm type setting in CIM config; 2. added try-except clause for initial policy state loading

* 1. moved post_step callback inside env sampler; 2. updated README for rl workflows

* refined READEME for CIM

* VM scheduling with RL (microsoft#375)

* added part of vm scheduling RL code

* refined vm env_wrapper code style

* added DQN

* added get_experiences func for ac in vm scheduling

* added post_step callback to env wrapper

* moved Aiming's tracking and plotting logic into callbacks

* added eval env wrapper

* renamed AC config variable name for VM

* vm scheduling RL code finished

* updated README

* fixed various bugs and hard coding for vm_scheduling

* uncommented callbacks for VM scheduling

* Minor revision for better code style

* added part of vm scheduling RL code

* refined vm env_wrapper code style

* vm scheduling RL code finished

* added config.py for vm scheduing

* vm example refactoring

* fixed bugs in vm_scheduling

* removed unwanted files from cim dir

* reverted to simple policy manager as default

* added part of vm scheduling RL code

* refined vm env_wrapper code style

* vm scheduling RL code finished

* added config.py for vm scheduing

* resolved rebase conflicts

* fixed bugs in vm_scheduling

* added get_state and set_state to vm_scheduling policy models

* updated README for vm_scheduling with RL

Co-authored-by: yaqiu <[email protected]>
Co-authored-by: Huoran Li <[email protected]>

* SC refinement (microsoft#397)

* Refine test scripts & pending_order_daily logic

* Refactor code for better code style: complete type hint, correct typos, remove unused items.

Refactor code for better code style: complete type hint, correct typos, remove unused items.

* Polish test_supply_chain.py

* update import format

* Modify vehicle steps logic & remove outdated test case

* Optimize imports

* Optimize imports

* Lint error

* Lint error

* Lint error

* Add SupplyChainAction

* Lint error

Co-authored-by: Jinyu Wang <[email protected]>

* refined workflow scripts

* fixed bug in ParallelAgentWrapper

* 1. fixed lint issues; 2. refined main script in workflows

* lint issue fix

* restored default config for rl example

* Update rollout.py

* refined env var processing in policy manager workflow

* added hasattr check in agent wrapper

* updated docker_compose_yml.py

* Minor refinement

* Minor PR. Prepare to merge latest master branch into v0.3 branch. (microsoft#412)

* Prepare to merge master_mirror

* Lint error

* Minor

* Merge latest master into v0.3 (microsoft#426)

* update docker hub init (microsoft#367)

* update docker hub init

* replace personal account with maro-team

* update hello files for CIM

* update docker repository name

* update docker file name

* fix bugs in notebook, rectify docs

* fix doc build issue

* remove docs from playground; fix citibike lp example Event issue

* update the exampel for vector env

* update vector env example

* update README due to PR comments

* add link to playground above MARO installation in README

* fix some typos

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* update README for package description

* update image links for pypi package description

* update image links for pypi package description

* change the input topology schema for CIM real data mode (microsoft#372)

* change the input topology schema for CIM real data mode

* remove unused importing

* update test config file correspondingly

* add Exception for env test

* add cost factors to cim data dump

* update CimDataCollection field name

* update field name of data collection related code

* update package version

* adjust interface to reflect actual signature (microsoft#374)

Co-authored-by: Jeremy Reynolds <[email protected]>

* update dataclasses requirement to setup

* fix: fixing spelling grammarr

* fix: fix typo spelling code commented and data_model.rst

* Fix Geo vis IP address & SQL logic bugs. (microsoft#383)

Fix Geo vis IP address & SQL logic bugs (issue [352](microsoft#352) and [314](microsoft#314)).

* Fix the "Wrong future stop tick predictions" bug (microsoft#386)

* Propose my new solution

Refine to the pre-process version

.

* Optimize import

* Fix reset random seed bug (microsoft#387)

* update the reset interface of Env and BE

* Try to fix reset routes generation seed issue

* Refine random related logics.

* Minor refinement

* Test check

* Minor

* Remove unused functions so far

* Minor

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* Add _init_vessel_plans in business_engine.reset (microsoft#388)

* update package version

* change the default solver used in Citibike OnlineLP example, from GLPK to CBC (microsoft#391)

Co-authored-by: Jinyu Wang <[email protected]>

* Refine `event_buffer/` module (microsoft#389)

* Core & Business Engine code refinement (microsoft#392)

* First version

* Optimize imports

* Add typehint

* Lint check

* Lint check

* add higher python version (microsoft#398)

* add higher python version

* update pytorch version

* update torchvision version

Co-authored-by: Jinyu Wang <[email protected]>

* CIM scenario refinement (microsoft#400)

* Cim scenario refinement (microsoft#394)

* CIM refinement

* Fix lint error

* Fix lint error

* Cim test coverage (microsoft#395)

* Enrich tests

* Refactor CimDataGenerator

* Refactor CIM parsers

* Minor refinement

* Fix lint error

* Fix lint error

* Fix lint error

* Minor refactor

* Type

* Add two test file folders. Make a slight change to CIM BE.

* Lint error

* Lint error

* Remove unnecessary public interfaces of CIM BE

* Cim disable auto action type detection (microsoft#399)

* Haven't been tested

* Modify document

* Add ActionType checking

* Minor

* Lint error

* Action quantity should be a position number

* Modify related docs & notebooks

* Minor

* Change test file name. Prepare to merge into master.

* .

* Minor test patch

* Add `clear()` function to class `SimRandom` (microsoft#401)

* Add SimRandom.clear()

* Minor

* Remove commented codes

* Lint error

* update package version

* Minor

* Remove docs/source/examples/multi_agent_dqn_cim.rst

* Update .gitignore

* Update .gitignore

Co-authored-by: Jinyu-W <[email protected]>
Co-authored-by: Jinyu Wang <[email protected]>
Co-authored-by: Jinyu Wang <[email protected]>
Co-authored-by: Jeremy Reynolds <[email protected]>
Co-authored-by: Jeremy Reynolds <[email protected]>
Co-authored-by: slowy07 <[email protected]>

* Change `Env.set_seed()` logic (microsoft#456)

* Change Env.set_seed() logic

* Redesign CIM reset logic; fix lint issues;

* Lint

* Seed type assertion

* Remove all SC related files (microsoft#473)

* RL Toolkit V3 (microsoft#471)

* added daemon=True for multi-process rollout, policy manager and inference

* removed obsolete files

* [REDO][PR#406]V0.2 rl refinement taskq (microsoft#408)

* Add a usable task_queue

* Rename some variables

* 1. Add ; 2. Integrate  related files; 3. Remove

* merge `data_parallel` and `num_grad_workers` into `data_parallelism`

* Fix bugs in docker_compose_yml.py and Simple/Multi-process mode.

* Move `grad_worker` into marl/rl/workflows

* 1.Merge data_parallel and num_workers into data_parallelism in config; 2.Assign recently used workers as possible in task_queue.

* Refine code and update docs of `TaskQueue`

* Support priority for tasks in `task_queue`

* Update diagram of policy manager and task queue.

* Add configurable `single_task_limit` and correct docstring about `data_parallelism`

* Fix lint errors in `supply chain`

* RL policy redesign (V2) (microsoft#405)

* Drafi v2.0 for V2

* Polish models with more comments

* Polish policies with more comments

* Lint

* Lint

* Add developer doc for models.

* Add developer doc for policies.

* Remove policy manager V2 since it is not used and out-of-date

* Lint

* Lint

* refined messy workflow code

* merged 'scenario_dir' and 'scenario' in rl config

* 1. refined env_sampler and agent_wrapper code; 2. added docstrings for env_sampler methods

* 1. temporarily renamed RLPolicy from polivy_v2 to RLPolicyV2; 2. merged env_sampler and env_sampler_v2

* merged cim and cim_v2

* lint issue fix

* refined logging logic

* lint issue fix

* reversed unwanted changes

* .

.

.

.

ReplayMemory & IndexScheduler

ReplayMemory & IndexScheduler

.

MultiReplayMemory

get_actions_with_logps

EnvSampler on the road

EnvSampler

Minor

* LearnerManager

* Use batch to transfer data & add SHAPE_CHECK_FLAG

* Rename learner to trainer

* Add property for policy._is_exploring

* CIM test scenario for V3. Manual test passed. Next step: run it, make it works.

* env_sampler.py could run

* env_sampler refine on the way

* First runnable version done

* AC could run, but the result is bad. Need to check the logic

* Refine abstract method & shape check error info.

* Docs

* Very detailed compare. Try again.

* AC done

* DQN check done

* Minor

* DDPG, not tested

* Minors

* A rough draft of MAAC

* Cannot use CIM as the multi-agent scenario.

* Minor

* MAAC refinement on the way

* Remove ActionWithAux

* Refine batch & memory

* MAAC example works

* Reproduce-able fix. Policy share between env_sampler and trainer_manager.

* Detail refinement

* Simplify the user configed workflow

* Minor

* Refine example codes

* Minor polishment

* Migrate rollout_manager to V3

* Error on the way

* Redesign torch.device management

* Rl v3 maddpg (microsoft#418)

* Add MADDPG trainer

* Fit independent critics and shared critic modes.

* Add a new property: num_policies

* Lint

* Fix a bug in `sum(rewards)`

* Rename `MADDPG` to `DiscreteMADDPG` and fix type hint.

* Rename maddpg in examples.

* Preparation for data parallel (microsoft#420)

* Preparation for data parallel

* Minor refinement & lint fix

* Lint

* Lint

* rename atomic_get_batch_grad to get_batch_grad

* Fix a unexpected commit

* distributed maddpg

* Add critic worker

* Minor

* Data parallel related minorities

* Refine code structure for trainers & add more doc strings

* Revert a unwanted change

* Use TrainWorker to do the actual calculations.

* Some minor redesign of the worker's abstraction

* Add set/get_policy_state_dict back

* Refine set/get_policy_state_dict

* Polish policy trainers

move train_batch_size to abs trainer
delete _train_step_impl()
remove _record_impl
remove unused methods
a minor bug fix in maddpg

* Rl v3 data parallel grad worker (microsoft#432)

* Fit new `trainer_worker` in `grad_worker` and `task_queue`.

* Add batch dispatch

* Add `tensor_dict` for task submit interface

* Move `_remote_learn` to `AbsTrainWorker`.

* Complement docstring for task queue and trainer.

* Rename train worker to train ops; add placeholder for abstract methods;

* Lint

Co-authored-by: GQ.Chen <[email protected]>

* [DRAFT] distributed training pipeline based on RL Toolkit V3 (microsoft#450)

* Preparation for data parallel

* Minor refinement & lint fix

* Lint

* Lint

* rename atomic_get_batch_grad to get_batch_grad

* Fix a unexpected commit

* distributed maddpg

* Add critic worker

* Minor

* Data parallel related minorities

* Refine code structure for trainers & add more doc strings

* Revert a unwanted change

* Use TrainWorker to do the actual calculations.

* Some minor redesign of the worker's abstraction

* Add set/get_policy_state_dict back

* Refine set/get_policy_state_dict

* Polish policy trainers

move train_batch_size to abs trainer
delete _train_step_impl()
remove _record_impl
remove unused methods
a minor bug fix in maddpg

* Rl v3 data parallel grad worker (microsoft#432)

* Fit new `trainer_worker` in `grad_worker` and `task_queue`.

* Add batch dispatch

* Add `tensor_dict` for task submit interface

* Move `_remote_learn` to `AbsTrainWorker`.

* Complement docstring for task queue and trainer.

* dsitributed training pipeline draft

* added temporary test files for review purposes

* Several code style refinements (microsoft#451)

* Polish rl_v3/utils/

* Polish rl_v3/distributed/

* Polish rl_v3/policy_trainer/abs_trainer.py

* fixed merge conflicts

* unified sync and async interfaces

* refactored rl_v3; refinement in progress

* Finish the runnable pipeline under new design

* Remove outdated files; refine class names; optimize imports;

* Lint

* Minor maddpg related refinement

* Lint

Co-authored-by: Default <[email protected]>
Co-authored-by: Huoran Li <[email protected]>
Co-authored-by: GQ.Chen <[email protected]>
Co-authored-by: ysqyang <[email protected]>

* Miner bug fix

* Coroutine-related bug fix ("get_policy_state") (microsoft#452)

* fixed rebase conflicts

* renamed get_policy_func_dict to policy_creator

* deleted unwanted folder

* removed unwanted changes

* resolved PR452 comments

Co-authored-by: ysqyang <[email protected]>

* Quick fix

* Redesign experience recording logic (microsoft#453)

* Two not important fix

* Temp draft. Prepare to WFH

* Done

* Lint

* Lint

* Calculating advantages / returns (microsoft#454)

* V1.0

* Complete DDPG

* Rl v3 hanging issue fix (microsoft#455)

* fixed rebase conflicts

* renamed get_policy_func_dict to policy_creator

* unified worker interfaces

* recovered some files

* dist training + cli code move

* fixed bugs

* added retry logic to client

* 1. refactored CIM with various algos; 2. lint

* lint

* added type hint

* removed some logs

* lint

* Make main.py more IDE friendly

* Make main.py more IDE friendly

* Lint

* Final test & format. Ready to merge.

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>
Co-authored-by: Huoran Li <[email protected]>

* Rl v3 parallel rollout (microsoft#457)

* fixed rebase conflicts

* renamed get_policy_func_dict to policy_creator

* unified worker interfaces

* recovered some files

* dist training + cli code move

* fixed bugs

* added retry logic to client

* 1. refactored CIM with various algos; 2. lint

* lint

* added type hint

* removed some logs

* lint

* Make main.py more IDE friendly

* Make main.py more IDE friendly

* Lint

* load balancing dispatcher

* added parallel rollout

* lint

* Tracker variable type issue; rename to env_sampler_creator;

* Rl v3 parallel rollout follow ups (microsoft#458)

* AbsWorker & AbsDispatcher

* Pass env idx to AbsTrainer.record() method, and let the trainer to decide how to record experiences sampled from different worlds.

* Fix policy_creator reuse bug

* Format code

* Merge AbsTrainerManager & SimpleTrainerManager

* AC test passed

* Lint

* Remove AbsTrainer.build() method. Put all initialization operations into __init__

* Redesign AC preprocess batches logic

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>
Co-authored-by: Huoran Li <[email protected]>

* MADDPG performance bug fix (microsoft#459)

* Fix MARL (MADDPG) terminal recording bug; some other minor refinements;

* Restore Trainer.build() method

* Calculate latest action in the get_actor_grad method in MADDPG.

* Share critic bug fix

* Rl v3 example update (microsoft#461)

* updated vm_scheduling example and cim notebook

* fixed bugs in vm_scheduling

* added local train method

* bug fix

* modified async client logic to fix hidden issue

* reverted to default config

* fixed PR comments and some bugs

* removed hardcode

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* Done (microsoft#462)

* Rl v3 load save (microsoft#463)

* added load/save feature

* fixed some bugs

* reverted unwanted changes

* lint

* fixed PR comments

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* RL Toolkit data parallelism revamp & config utils (microsoft#464)

* added load/save feature

* fixed some bugs

* reverted unwanted changes

* lint

* fixed PR comments

* 1. fixed data parallelism issue; 2. added config validator; 3. refactored cli local

* 1. fixed rollout exit issue; 2. refined config

* removed config file from example

* fixed lint issues

* fixed lint issues

* added main.py under examples/rl

* fixed lint issues

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* RL doc string (microsoft#465)

* First rough draft

* Minors

* Reformat

* Lint

* Resolve PR comments

* Rl type specific env getter (microsoft#466)

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* fixed bugs

* fixed bugs

* bug fixes

* lint

Co-authored-by: ysqyang <[email protected]>
Co-authored-by: yaqiu <[email protected]>

* Example bug fix

* Optimize parser.py

* Resolve PR comments

* Rl config doc (microsoft#467)

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* added detailed doc

* lint

* wording refined

* resolved some PR comments

* resolved more PR comments

* typo fix

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* RL online doc (microsoft#469)

* Model, policy, trainer

* RL workflows and env sampler doc in RST (microsoft#468)

* First rough draft

* Minors

* Reformat

* Lint

* Resolve PR comments

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* Rl type specific env getter (microsoft#466)

* 1. type-sensitive env variable getter; 2. updated READMEs for examples

* fixed bugs

* fixed bugs

* bug fixes

* lint

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* Example bug fix

* Optimize parser.py

* Resolve PR comments

* added detailed doc

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* rewriting rl toolkit rst

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* Finish docs/source/key_components/rl_toolkit.rst

* API doc

* RL online doc image fix (microsoft#470)

* resolved some PR comments

* fix

* fixed PR comments

* added numfig=True setting in conf.py for sphinx

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* Add example github link

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* Rl v3 pr comment resolution (microsoft#474)

* added load/save feature

* 1. resolved pr comments; 2. reverted maro/cli/k8s

* fixed some bugs

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* RL renaming v2 (microsoft#476)

* Change all Logger in RL to LoggerV2

* TrainerManager => TrainingManager

* Add Trainer suffix to all algorithms

* Finish docs

* Update interface names

* Minor fix

* Cherry pick latest RL (microsoft#498)

* Cherry pick

* Remove SC related files

* Cherry pick RL changes from `sc_refinement` (latest commit: `2a4869`) (microsoft#509)

* Cherry pick RL changes from sc_refinement (2a4869)

* Limit time display precision

* RL incremental refactor (microsoft#501)

* Refactor rollout logic. Allow multiple sampling in one epoch, so that we can generate more data for training.

AC & PPO for continuous action policy; refine AC & PPO logic.

Cherry pick RL changes from GYM-DDPG

Cherry pick RL changes from GYM-SAC

Minor error in doc string

* Add min_n_sample in template and parser

* Resolve PR comments. Fix a minor issue in SAC.

* RL component bundle (microsoft#513)

* CIM passed

* Update workers

* Refine annotations

* VM passed

* Code formatting.

* Minor import loop issue

* Pass batch in PPO again

* Remove Scenario

* Complete docs

* Minor

* Remove segment

* Optimize logic in RLComponentBundle

* Resolve PR comments

* Move 'post methods from RLComponenetBundle to EnvSampler

* Add method to get mapping of available tick to frame index (microsoft#415)

* add method to get mapping of available tick to frame index

* fix lint issue

* fix naming issue

* Cherry pick from sc_refinement (microsoft#527)

* Cherry pick from sc_refinement

* Cherry pick from sc_refinement

* Refine `terminal` / `next_agent_state` logic (microsoft#531)

* Optimize RL toolkit

* Fix bug in terminal/next_state generation

* Rewrite terminal/next_state logic again

* Minor renaming

* Minor bug fix

* Resolve PR comments

* Merge master into v0.3 (microsoft#536)

* update docker hub init (microsoft#367)

* update docker hub init

* replace personal account with maro-team

* update hello files for CIM

* update docker repository name

* update docker file name

* fix bugs in notebook, rectify docs

* fix doc build issue

* remove docs from playground; fix citibike lp example Event issue

* update the exampel for vector env

* update vector env example

* update README due to PR comments

* add link to playground above MARO installation in README

* fix some typos

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* update package version

* update README for package description

* update image links for pypi package description

* update image links for pypi package description

* change the input topology schema for CIM real data mode (microsoft#372)

* change the input topology schema for CIM real data mode

* remove unused importing

* update test config file correspondingly

* add Exception for env test

* add cost factors to cim data dump

* update CimDataCollection field name

* update field name of data collection related code

* update package version

* adjust interface to reflect actual signature (microsoft#374)

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* update dataclasses requirement to setup

* fix: fixing spelling grammarr

* fix: fix typo spelling code commented and data_model.rst

* Fix Geo vis IP address & SQL logic bugs. (microsoft#383)

Fix Geo vis IP address & SQL logic bugs (issue [352](microsoft#352) and [314](microsoft#314)).

* Fix the "Wrong future stop tick predictions" bug (microsoft#386)

* Propose my new solution

Refine to the pre-process version

.

* Optimize import

* Fix reset random seed bug (microsoft#387)

* update the reset interface of Env and BE

* Try to fix reset routes generation seed issue

* Refine random related logics.

* Minor refinement

* Test check

* Minor

* Remove unused functions so far

* Minor

Co-authored-by: Jinyu Wang <[email protected]>

* update package version

* Add _init_vessel_plans in business_engine.reset (microsoft#388)

* update package version

* change the default solver used in Citibike OnlineLP example, from GLPK to CBC (microsoft#391)

Co-authored-by: Jinyu Wang <[email protected]>

* Refine `event_buffer/` module (microsoft#389)

* Core & Business Engine code refinement (microsoft#392)

* First version

* Optimize imports

* Add typehint

* Lint check

* Lint check

* add higher python version (microsoft#398)

* add higher python version

* update pytorch version

* update torchvision version

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* CIM scenario refinement (microsoft#400)

* Cim scenario refinement (microsoft#394)

* CIM refinement

* Fix lint error

* Fix lint error

* Cim test coverage (microsoft#395)

* Enrich tests

* Refactor CimDataGenerator

* Refactor CIM parsers

* Minor refinement

* Fix lint error

* Fix lint error

* Fix lint error

* Minor refactor

* Type

* Add two test file folders. Make a slight change to CIM BE.

* Lint error

* Lint error

* Remove unnecessary public interfaces of CIM BE

* Cim disable auto action type detection (microsoft#399)

* Haven't been tested

* Modify document

* Add ActionType checking

* Minor

* Lint error

* Action quantity should be a position number

* Modify related docs & notebooks

* Minor

* Change test file name. Prepare to merge into master.

* .

* Minor test patch

* Add `clear()` function to class `SimRandom` (microsoft#401)

* Add SimRandom.clear()

* Minor

* Remove commented codes

* Lint error

* update package version

* add branch v0.3 to github workflow

* update github test workflow

* Update requirements.dev.txt (microsoft#444)

Added the versions of dependencies and resolve some conflicts occurs when installing. By adding these version number it will tell you the exact.

* Bump ipython from 7.10.1 to 7.16.3 in /notebooks (microsoft#460)

Bumps [ipython](https://github.com/ipython/ipython) from 7.10.1 to 7.16.3.
- [Release notes](https://github.com/ipython/ipython/releases)
- [Commits](ipython/ipython@7.10.1...7.16.3)

---
updated-dependencies:
- dependency-name: ipython
  dependency-type: direct:production
...

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* Remove random_config.py

* Remove test_trajectory_utils.py

* Pass tests

* Update rl docs

* Remove python 3.6 in test

* Update docs

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* Logger bug hotfix (microsoft#543)

* Rename param

* Rename param

* Quick fix in env_data_process

* frame data precision issue fix (microsoft#544)

* fix frame precision issue

* add .xmake to .gitignore

* update frame precision lost warning message

* add assert to frame precision checking

* typo fix

* add TODO for future Long data type issue fix

* Minor cleaning

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* Fix several encoding issues; update requirements.

* Test & minor

* Remove torch in requirements.build.txt

* Polish

* Update README

* Resolve PR comments

* Keep working

* Keep working

* Update test requirements
* Update requirements in example and notebook

* Remove autopep8

* Add jupyterlab packages back

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* Add DecisionEventPayload

* Change decision payload name

* Refine action logic

* Add doc for env.step

* Restore pre-commit config

* Resolve PR comments

* Refactor decision event & action

* Pre-commit

* Resolve PR comments
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@lihuoran lihuoran requested review from lihuoran and Jinyu-W October 17, 2022 08:24
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