meta-rl topic
tesp
Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
learn2learn
A PyTorch Library for Meta-learning Research
torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
maml-rl-tf2
Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
meta-learning-for-everyone
"모두를 위한 메타러닝" 책에 대한 코드 저장소
unstable_baselines
Re-implementations of SOTA RL algorithms.
FOCAL-ICLR
Code for FOCAL Paper Published at ICLR 2021
awesome-metarl
A curated list of awesome Meta Reinforcement Learning