DKuan / MADDPG_torchLinks
The code for maddpg using pytorch
☆169Updated 5 years ago
Alternatives and similar repositories for MADDPG_torch
Users that are interested in MADDPG_torch are comparing it to the libraries listed below
Sorting:
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆222Updated 6 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- ☆89Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆161Updated 2 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆365Updated 4 years ago
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆49Updated 5 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆659Updated 3 years ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆210Updated 3 years ago
- 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
- Code for Weighted QMIX☆144Updated 5 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆353Updated 5 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆146Updated last year
- ☆106Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆95Updated last year
- pytorch实现的一些MARL算法☆68Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆509Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆660Updated 5 years ago
- This is the official implementation of Multi-Agent PPO.☆125Updated 2 years ago
- ☆48Updated 5 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆204Updated last year
- The pytorch implementation of DGN on grid world and Starcraft☆148Updated 3 years ago
- ☆218Updated 2 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 7 years ago
- The implement of the policy gradient RL algorithm with pytorch☆40Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- multi-agent deep reinforcement learning for networked system control.☆428Updated 5 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago