An offline deep reinforcement learning library

Official implementation of HARL algorithms based on PyTorch.

An extension of the PyMARL codebase that includes additional algorithms and environment support

Paper list of multi-agent reinforcement learning (MARL)

PyTorch implementations of deep reinforcement learning algorithms and environments

A collection of recent MARL papers

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

An elegant PyTorch offline reinforcement learning library for researchers.

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

The open source air traffic simulator

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

Python Multi-Agent Reinforcement Learning framework

Application of an autonomous multi-agent system using Proximal Policy Optimisation for tactical deconfliction within the urban airspace

Multi-Agent Reinforcement Learning (MARL) papers with code

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Open source 5G core network base on 3GPP R15

Code for Weighted QMIX