oxwhirl / pymarlLinks
Python Multi-Agent Reinforcement Learning framework
☆2,048Updated 2 years ago
Alternatives and similar repositories for pymarl
Users that are interested in pymarl are comparing it to the libraries listed below
Sorting:
- SMAC: The StarCraft Multi-Agent Challenge☆1,227Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,604Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,831Updated last year
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,600Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,620Updated 11 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,902Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆717Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆756Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,316Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆705Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,263Updated 4 months ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆665Updated 7 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆594Updated 7 years ago
- PyTorch implementation of soft actor critic☆894Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,228Updated 4 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆634Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆646Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,634Updated 3 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆608Updated 9 months ago
- Collection of reinforcement learning algorithms☆2,723Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- Soft Actor-Critic☆1,113Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,281Updated 5 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆681Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,275Updated 3 weeks ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,114Updated 7 months ago
- A collection of reference environments for offline reinforcement learning☆1,525Updated 7 months ago