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
  ☆198Updated 2 years ago
• Skylarking / MARL
  多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现
  ☆32Updated 2 years ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆141Updated 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.
  ☆100Updated 2 years ago
• Abluceli / Multi-agent-Reinforcement-Learning-Algorithms
  Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)
  ☆15Updated 5 years ago
• boyu-ai / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆25Updated last year
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 4 years ago
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆47Updated 3 years ago
• indigoLovee / D3QN
  D3QN Pytorch
  ☆63Updated 3 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆70Updated 3 years ago
• Emmanuel-Naive / MATD3
  Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships
  ☆64Updated 2 years ago
• TimeBreaker / MARL-resources-collection
  A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
  ☆236Updated 2 years ago
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆57Updated 3 years ago
• philtabor / Multi-Agent-Reinforcement-Learning
  PyTorch implementations of MADDPG, MAPPO (coming)
  ☆147Updated last year
• indigoLovee / TD3
  TD3 in Pytorch
  ☆34Updated 3 years ago
• sanjinzhi / Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation
  This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".
  ☆88Updated 4 years ago
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆48Updated 3 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆137Updated last year
• X-I-N / my_PDQN
  my code for paper Parameterized-DQN
  ☆22Updated 4 years ago
• Git-123-Hub / maddpg-pettingzoo-pytorch
  implementation of MADDPG using PettingZoo and PyTorch
  ☆144Updated last year
• acezsq / dsx-rl
  动手学强化学习代码
  ☆57Updated last year
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆82Updated 6 months ago
• JohannesAck / MATD3implementation
  Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…
  ☆86Updated 4 years ago
• wild-firefox / FreeRL
  Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL
  ☆73Updated last month
• Emmanuel-Naive / MADDPG
  Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships
  ☆36Updated 2 years ago
• XinJingHao / TD3-BipedalWalkerHardcore-v2
  Solve BipedalWalkerHardcore-v2 with TD3
  ☆89Updated 2 years ago
• SJTUwbl / MaCA
  Multi-agent Combat Arena (UAV swarm vs UAV swarm)
  ☆133Updated 4 years ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆77Updated last month
• glong1997 / MultiAgentLearning
  多智能体学习库
  ☆19Updated 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