Lizhi-sjtu / MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
☆440Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for MARL-code-pytorch
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆409Updated last year
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆498Updated 3 weeks ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆298Updated 3 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆537Updated 2 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆206Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆311Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆212Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆508Updated last month
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆573Updated 4 years ago
- Official implementation of HARL algorithms based on PyTorch.☆505Updated last month
- implementation of MADDPG using PettingZoo and PyTorch☆109Updated last year
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆178Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆191Updated 5 years ago
- The code for maddpg using pytorch☆162Updated 4 years ago
- ☆185Updated last year
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆314Updated 4 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,310Updated 3 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆109Updated 6 months ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆243Updated this week
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆668Updated 2 years ago
- RL algorithms☆139Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆130Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆671Updated 2 years ago
- ☆339Updated 10 months ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆129Updated 10 months ago
- An environment based on JSBSIM aimed at one-to-one close air combat.☆290Updated last week
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆145Updated 6 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,459Updated 2 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆75Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆615Updated 6 years ago