wjxgeorge

Minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

octo

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

NeoRL

Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets

rl_unplugged

detectron2

detectron2 windows build

Charts

Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.

SwiftCSV

CSV parser for Swift

transformer-xl

PCGrad

Code for "Gradient Surgery for Multi-Task Learning"

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

CTRNN

Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

CORL

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

implicit_q_learning

PixelLib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

CQL

Conservative Q Learning on top of SAC

robogym

Robotics Gym Environments

BPref

Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

MO-Gymnasium

Multi-objective Gymnasium environments for reinforcement learning

Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

CQL

Code for conservative Q-learning

spinningup

An educational resource to help anyone learn deep reinforcement learning.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

rlkit

Collection of reinforcement learning algorithms

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Metaworld

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

Gymnasium-Robotics

A collection of robotics simulation environments for reinforcement learning