Alternatives and similar repositories for MARL

Users that are interested in MARL are comparing it to the libraries listed below

• thesouther / MARL
  多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
  ☆214Updated 3 years ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆141Updated 4 years ago
• NovemberChopin / RL_Tutorial
  Tutorial for Reinforcement Learning
  ☆191Updated 4 years ago
• ZYunfeii / DRL_algorithm_library
  This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
  ☆108Updated 3 years ago
• AndyYue1893 / Deep-reinforcement-learning-with-pytorch
  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
  ☆53Updated 5 years ago
• indigoLovee / D3QN
  D3QN Pytorch
  ☆67Updated 4 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 5 years ago
• TimeBreaker / MARL-resources-collection
  A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
  ☆258Updated 3 years ago
• philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
  ☆379Updated 4 years ago
• ClownW / Reinforcement-learning-with-PyTorch
  Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
  ☆315Updated 6 years ago
• zouchangjie / RL-Nash-Q-learning
  强化学习中纳什Qlearning 实现矩阵博弈
  ☆30Updated 6 years ago
• Skylarking / MARL
  多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现
  ☆36Updated 2 years ago
• glong1997 / MultiAgentLearning
  多智能体学习库
  ☆22Updated 4 years ago
• laohuu / reinforcement_learning
  Reinforcement Learning Algorithms Based on PyTorch
  ☆21Updated 3 years ago
• Quantum-Cheese / DeepReinforcementLearning_Pytorch
  Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym
  ☆58Updated 4 years ago
• shouyuantianxia / Algorithmic-Game-Theory-Application-on-Multi-agent-Combat-and-Verification-Platform-Design
  本科毕业设计:《多智能体博弈兵棋推演理论与验证平台设计》的源代码附录内容。强化学习算法的实现上参考了周沫凡先生的开源代码https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow
  ☆61Updated 5 years ago
• boyu-ai / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆32Updated 2 years ago
• XinJingHao / TD3-BipedalWalkerHardcore-v2
  Solve BipedalWalkerHardcore-v2 with TD3
  ☆96Updated 2 years ago
• mohammadasghari / dqn-multi-agent-rl
  Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
  ☆355Updated 5 years ago
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆57Updated 3 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆77Updated 3 years ago
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆92Updated 5 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆94Updated 2 years ago
• philtabor / Multi-Agent-Reinforcement-Learning
  PyTorch implementations of MADDPG, MAPPO (coming)
  ☆188Updated last year
• Abluceli / Multi-agent-Reinforcement-Learning-Algorithms
  Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)
  ☆16Updated 5 years ago
• wild-firefox / FreeRL
  Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL
  ☆153Updated last month
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆169Updated 2 years ago
• LiSir-HIT / Reinforcement-Learning
  kinds of reinforcement learning model by Pytorch
  ☆344Updated 2 years ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆90Updated 9 months ago
• Phoenix-Shen / ReinforcementLearning
  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
  ☆110Updated 2 years ago