meta-rl

Farama-Foundation/Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

metaopt/torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

twni2016/pomdp-baselines

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

x35f/unstable_baselines

Re-implementations of SOTA RL algorithms.

dongminlee94/meta-learning-for-everyone

"모두를 위한 메타러닝" 책에 대한 코드 저장소

LanqingLi1993/FOCAL-ICLR

Code for FOCAL Paper Published at ICLR 2021

btnorman/First-Explore

Repo to reproduce the First-Explore paper results

llan-ml/tesp

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

confiwent/NeuralABR-Pensieve-PPO-MAML

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

metarl/awesome-metarl

A curated list of awesome Meta Reinforcement Learning

schneimo/maml-rl-tf2

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

corl-team/headless-ad

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

corl-team/ad-eps

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

yoonholee/reinforcement-learning-papers

My notes on reinforcement learning papers

RoozbehRazavi/BIMRL

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

WangJingyao07/MetaLearning-Lab

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

gomerudo/nas-dmrl

Learning to reinforcement learn for Neural Architecture Search

JRPCF/Learning-to-Learn-using-Biologically-Inspired-Model-Agnostic-Meta-Learning

corl-team/toy-meta-gym

Toy meta-RL environments for testing algorithms implementations

CIMBIBOY/GenReL-World

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

mohammadmozafari/advanced-machine-learning

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.

sharmaswastik/EE-675A-Course-Project

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