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version 1.0.3
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quantumiracle committed May 21, 2020
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17 changes: 9 additions & 8 deletions README.md
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Expand Up @@ -65,12 +65,13 @@ the coming months after initial release. We will keep improving the potential pr

<details><summary><b>Version History</b> <i>[click to expand]</i></summary>
<div>

* 1.0.2 (Current version)

Changes:
* Fix bugs in SAC algorithm

* 1.0.3 (Current version)

Changes:

* Fix bugs in SAC algorithm

* 1.0.1

Changes:
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```pip3 install -r requirements.txt```
<details><summary><b>List of prerequisites.</b> <i>[click to expand]</i></summary>
<div>

* tensorflow >= 2.0.0 or tensorflow-gpu >= 2.0.0a0
* tensorlayer >= 2.0.1
* tensorflow-probability
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<details><summary><b>Some notes on environment usage.</b> <i>[click to expand]</i></summary>
<div>

* Make sure the name of environment matches the type of environment in the main script. The types of environments include: 'atari', 'box2d', 'classic_control', 'mujoco', 'robotics', 'dm_control', 'rlbench'.
* When using the DeepMind Control Suite, install the [dm2gym](https://github.com/zuoxingdong/dm2gym) package with: `pip install dm2gym`

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<details><summary><b>4. Interactive reinforcement learning configuration.</b> <i>[click to expand]</i></summary>
<div>

As shown in the interactive use case in Section of Usage, a jupyter notebook is provided for more intuitively configuring the whole process of deploying the learning process ([`rlzoo/interactive/main.ipynb`](https://github.com/tensorlayer/RLzoo/blob/master/rlzoo/interactive/main.ipynb))
</div>
</details>
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2 changes: 1 addition & 1 deletion docs/conf.py
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author = 'Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Hao Dong'

# The full version, including alpha/beta/rc tags
release = '1.0.2'
release = '1.0.3'


# -- General configuration ---------------------------------------------------
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2 changes: 1 addition & 1 deletion setup.py
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setup(
name = "rlzoo",
version = "0.0.1",
version = "1.0.3",
include_package_data=True,
author='Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Hao Dong',
author_email='[email protected]',
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