Alternatives and similar repositories for deep-marl-toolkit

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

• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆177Updated last year
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆79Updated 2 years ago
• cyanrain7 / TRPO-in-MARL
  ☆209Updated 2 years ago
• oxwhirl / facmac
  ☆99Updated 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…
  ☆86Updated 4 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆107Updated 2 years ago
• JohannesAck / tf2multiagentrl
  Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
  ☆155Updated last year
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆85Updated 6 months ago
• Git-123-Hub / maddpg-pettingzoo-pytorch
  implementation of MADDPG using PettingZoo and PyTorch
  ☆147Updated last year
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆158Updated last year
• marlbenchmark / off-policy
  PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
  ☆484Updated last year
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆117Updated 2 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆71Updated 3 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆137Updated 4 years ago
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆48Updated 3 years ago
• philtabor / Multi-Agent-Reinforcement-Learning
  PyTorch implementations of MADDPG, MAPPO (coming)
  ☆148Updated last year
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆58Updated 3 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆169Updated 4 years ago
• nsidn98 / InforMARL
  Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
  ☆112Updated 5 months ago
• hijkzzz / noisy-mappo
  Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
  ☆64Updated 2 years ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆81Updated 2 months ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆91Updated last year
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆67Updated 4 years ago
• philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
  ☆346Updated 4 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆53Updated 3 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆217Updated 6 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
  ☆201Updated 3 years ago
• TimeBreaker / Multi-Agent-Reinforcement-Learning-papers
  Multi-Agent Reinforcement Learning (MARL) papers
  ☆264Updated 2 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
• LinghengMeng / LSTM-TD3
  The implementation of LSTM-TD3.
  ☆81Updated 2 years ago