yoshinobc / M3DDPG-pytorch
MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation
☆10Updated 4 years ago
Alternatives and similar repositories for M3DDPG-pytorch:
Users that are interested in M3DDPG-pytorch are comparing it to the libraries listed below
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆46Updated 2 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆54Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆70Updated 3 months ago
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆46Updated 5 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆13Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆63Updated 2 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆30Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆84Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆120Updated 10 months ago
- implementation of MADDPG using PettingZoo and PyTorch☆124Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated this week
- The official code releasement of publications in MARL field of TJU RL lab.☆70Updated 2 years ago
- ☆94Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆44Updated 5 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆142Updated last year
- The code for maddpg using pytorch☆165Updated 4 years ago
- pytorch实现的一些MARL算法☆65Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆17Updated 6 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- my code for paper Parameterized-DQN☆21Updated 3 years ago
- Code for Weighted QMIX☆130Updated 4 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆22Updated 6 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆120Updated 11 months ago
- D3QN Pytorch☆57Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 4 months ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆189Updated 2 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆58Updated 2 years ago