RL
Multi-Objective Reinforcement Learning algorithms implementations.
Author's PyTorch implementation of TD3 for OpenAI gym tasks
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Real-World RL Benchmark Suite
Multi-objective Gymnasium environments for reinforcement learning
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
a clean and robust Pytorch implementation of SAC on continuous action space
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.
Simulate UR5e in Gazebo with joint velocity commands
Paper list of multi-agent reinforcement learning (MARL)
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
A collection of reference environments for offline reinforcement learning
Multiagent research environment toolbox based on Unreal Engine
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..