marlbenchmark / on-policyLinks
This is the official implementation of Multi-Agent PPO (MAPPO).
☆1,737Updated last year
Alternatives and similar repositories for on-policy
Users that are interested in on-policy are comparing it to the libraries listed below
Sorting:
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,671Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,104Updated 2 years ago
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆749Updated 2 weeks ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,190Updated 11 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,278Updated last year
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆658Updated 3 years ago
- Official implementation of HARL algorithms based on PyTorch.☆799Updated 6 months ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆658Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆657Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆770Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆504Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆645Updated last year
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,889Updated last year
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,403Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆733Updated 3 years ago
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆976Updated last week
- ☆446Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,979Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,305Updated 7 months ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆681Updated 7 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆406Updated 3 years ago
- PyTorch implementation of soft actor critic☆919Updated 3 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,665Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers☆277Updated 3 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆867Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆609Updated 7 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆723Updated 2 years ago
- DRLib:a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆558Updated last year
- The repository is for safe reinforcement learning baselines.☆718Updated last week
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆364Updated 4 years ago