Alternatives and similar repositories for marl

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

• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆154Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆136Updated 4 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆94Updated 2 years ago
• namidairo777 / Distributed-MADDPG
  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
  ☆105Updated 4 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆64Updated 5 years ago
• rhoowd / sched_net
  ☆85Updated 3 years ago
• vwxyzjn / invalid-action-masking
  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
  ☆155Updated 2 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 5 years ago
• Farama-Foundation / MAgent
  An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…
  ☆192Updated 2 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆168Updated 4 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆106Updated 2 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆79Updated 2 years ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆65Updated 2 months ago
• qian18long / epciclr2020
  ☆120Updated 2 years ago
• deligentfool / policy_based_RL
  The implement of the policy gradient RL algorithm with pytorch
  ☆38Updated 4 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆174Updated last year
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆415Updated 4 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆58Updated 5 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆141Updated 6 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 5 years ago
• oxwhirl / facmac
  ☆96Updated 3 years ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆119Updated 7 months ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆50Updated 6 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆52Updated 3 years ago
• ChuaCheowHuan / reinforcement_learning
  My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
  ☆37Updated 2 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…
  ☆86Updated 4 years ago
• hijkzzz / noisy-mappo
  Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
  ☆63Updated last year
• livey / scalable_maddpg
  scalable multi agents reinforcement learning
  ☆61Updated 7 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆70Updated 3 years ago
• mohammadasghari / dqn-multi-agent-rl
  Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
  ☆341Updated 5 years ago