An implementation of Meta RL submitted as a course project for the course EE675A (Introduction to Reinforcement Learning)

GenReL-World is a general Reinforcement Learning framework to utilize various world models as environments for robot manipulation

Learning to reinforcement learn for Neural Architecture Search

Toy meta-RL environments for testing algorithms implementations

🌈 The code and methods offered in Awesome-META+: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/

Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)

My notes on reinforcement learning papers

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

A curated list of awesome Meta Reinforcement Learning

Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"

Reimplementing existing learning-based ABR algorithms for dynamic video streaming. These algorithms were implemented with Pytorch and python3

Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

Repo to reproduce the First-Explore paper results

This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-learning, meta-reinforcement-learning, continual-learning and etc.

Code for FOCAL Paper Published at ICLR 2021

Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"

"모두를 위한 메타러닝" 책에 대한 코드 저장소

Re-implementations of SOTA RL algorithms.

Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022