openai / maddpgLinks
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
☆1,818Updated last year
Alternatives and similar repositories for maddpg
Users that are interested in maddpg are comparing it to the libraries listed below
Sorting:
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,580Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,033Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,215Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,597Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆664Updated 7 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,589Updated 11 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆752Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆702Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆629Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆637Updated 5 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆586Updated 7 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,888Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,740Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,307Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆711Updated 3 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,279Updated 5 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆602Updated 8 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,180Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated 11 months ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,092Updated 6 months ago
- PyTorch implementation of soft actor critic☆882Updated 3 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆372Updated 2 years ago
- Soft Actor-Critic☆1,101Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆484Updated last year
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆684Updated 3 months ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆595Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆615Updated 6 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,223Updated 4 years ago
- multi-agent deep reinforcement learning for networked system control.☆417Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,255Updated 3 months ago