Alternatives and similar repositories for multiagent-particle-envs

Users that are interested in multiagent-particle-envs are comparing it to the libraries listed below

• Git-123-Hub / maddpg-pettingzoo-pytorch
  implementation of MADDPG using PettingZoo and PyTorch
  ☆156Updated 2 years ago
• manaski / MARL
  多智能体强化学习
  ☆103Updated 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
  ☆207Updated 3 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.
  ☆104Updated 3 years ago
• glong1997 / MultiAgentLearning
  多智能体学习库
  ☆21Updated 3 years ago
• marlbenchmark / off-policy
  PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
  ☆504Updated 2 years ago
• TimeBreaker / MARL-resources-collection
  A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
  ☆250Updated 3 years ago
• XinJingHao / SAC-Continuous-Pytorch
  a clean and robust Pytorch implementation of SAC on continuous action space
  ☆88Updated 6 months ago
• Skylarking / MARL
  多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现
  ☆33Updated 2 years ago
• xiaoyandong08 / maddpg-mpe
  Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
  ☆20Updated 7 years ago
• philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
  ☆363Updated 4 years ago
• IDSIA / hhmarl_2D
  Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
  ☆138Updated 6 months ago
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆54Updated 3 years ago
• eyextent / AirCombateRL
  ☆43Updated 5 years ago
• Lizhi-sjtu / MARL-code-pytorch
  Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
  ☆658Updated 3 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆92Updated 11 months ago
• mengwanglalala / RL-algorithms
  RL algorithms
  ☆141Updated 4 years ago
• tinyzqh / light_mappo
  Lightweight version of MAPPO to help you quickly migrate to your local environment.
  ☆741Updated last week
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆165Updated last year
• wild-firefox / FreeRL
  Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL
  ☆126Updated 3 months ago
• Linaom1214 / RL_air-combat
  基于强化学习的空战对抗
  ☆76Updated 4 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…
  ☆89Updated 4 years ago
• Jingliang-Duan / DSAC-v2
  DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic
  ☆404Updated 3 months ago
• DeepBayesEst / air-combat-Reinforcement-Learning
  利用值函数逼近网络设计无人机空战自主决策系统，目前是初步的程序编写，之后会不断更新和详解。
  ☆71Updated 6 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆169Updated 5 years ago
• SJTUwbl / MaCA
  Multi-agent Combat Arena (UAV swarm vs UAV swarm)
  ☆149Updated 5 years ago
• MarWaltz / TUD_RL
  RL Dresden Algorithm Suite
  ☆32Updated last year
• indigoLovee / D3QN
  D3QN Pytorch
  ☆62Updated 3 years ago
• Emmanuel-Naive / MATD3
  Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships
  ☆63Updated 2 years ago
• NovemberChopin / RL_Tutorial
  Tutorial for Reinforcement Learning
  ☆189Updated 3 years ago