Alternatives and similar repositories for off-policy

Users that are interested in off-policy are comparing it to the libraries listed below

• Lizhi-sjtu / MARL-code-pytorch
  Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
  ☆647Updated 2 years ago
• shariqiqbal2810 / maddpg-pytorch
  PyTorch Implementation of MADDPG (Lowe et. al. 2017)
  ☆652Updated 5 years ago
• starry-sky6688 / MADDPG
  Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…
  ☆652Updated 3 years ago
• philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
  ☆358Updated 4 years ago
• Git-123-Hub / maddpg-pettingzoo-pytorch
  implementation of MADDPG using PettingZoo and PyTorch
  ☆155Updated last year
• tinyzqh / light_mappo
  Lightweight version of MAPPO to help you quickly migrate to your local environment.
  ☆732Updated 7 months ago
• uoe-agents / epymarl
  An extension of the PyMARL codebase that includes additional algorithms and environment support
  ☆625Updated last year
• PKU-MARL / Multi-Agent-Transformer
  ☆434Updated last year
• TimeBreaker / MARL-resources-collection
  A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
  ☆250Updated 2 years ago
• TimeBreaker / Multi-Agent-Reinforcement-Learning-papers
  Multi-Agent Reinforcement Learning (MARL) papers
  ☆273Updated 3 years ago
• cyanrain7 / TRPO-in-MARL
  ☆217Updated 2 years ago
• thesouther / MARL
  多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
  ☆207Updated 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..…
  ☆142Updated last year
• TimeBreaker / MARL-papers-with-code
  Multi-Agent Reinforcement Learning (MARL) papers with code
  ☆397Updated 3 years ago
• shariqiqbal2810 / MAAC
  Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
  ☆768Updated 3 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆117Updated 2 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆170Updated 4 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆166Updated last year
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆221Updated 6 years ago
• mohammadasghari / dqn-multi-agent-rl
  Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
  ☆349Updated 5 years ago
• PKU-MARL / HARL
  Official implementation of HARL algorithms based on PyTorch.
  ☆767Updated 5 months ago
• oxwhirl / facmac
  ☆102Updated 3 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆116Updated 2 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆140Updated 4 years ago
• Bigpig4396 / Multi-Agent-Reinforcement-Learning-Environment
  Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
  ☆729Updated 3 years ago
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆426Updated 5 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…
  ☆87Updated 4 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆190Updated last year
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆163Updated last year
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆80Updated 3 years ago