There are 3 repositories under meta-rl topic.
A PyTorch Library for Meta-learning Research
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Re-implementations of SOTA RL algorithms.
"모두를 위한 메타러닝" 책에 대한 코드 저장소
Code for FOCAL Paper Published at ICLR 2021
Repo to reproduce the First-Explore paper results
A curated list of awesome Meta Reinforcement Learning
Reimplementing existing learning-based ABR algorithms for dynamic video streaming. These algorithms were implemented with Pytorch and python3
Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
My notes on reinforcement learning papers
Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)
🌈 The code and methods offered in Awesome-META+: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/
Toy meta-RL environments for testing algorithms implementations
GenReL-World is a general Reinforcement Learning framework to utilize various world models as environments for robot manipulation
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.
An implementation of Meta RL submitted as a course project for the course EE675A (Introduction to Reinforcement Learning)