philtabor / Multi-Agent-Deep-Deterministic-Policy-GradientsLinks
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
☆349Updated 4 years ago
Alternatives and similar repositories for Multi-Agent-Deep-Deterministic-Policy-Gradients
Users that are interested in Multi-Agent-Deep-Deterministic-Policy-Gradients are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆634Updated 2 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆609Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆489Updated last year
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆347Updated 5 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆376Updated 2 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆202Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆151Updated last year
- The code for maddpg using pytorch☆169Updated 4 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆241Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆156Updated last year
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆694Updated 4 months ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆89Updated last month
- Multi-Agent Reinforcement Learning (MARL) papers☆266Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆419Updated 4 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 7 months ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆157Updated last year
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆217Updated 6 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆608Updated 9 months ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆49Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆755Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 7 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆717Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆156Updated last year
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 3 months ago
- ☆211Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆311Updated 2 years ago