openai / multiagent-particle-envsLinks
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
☆2,660Updated last year
Alternatives and similar repositories for multiagent-particle-envs
Users that are interested in multiagent-particle-envs are comparing it to the libraries listed below
Sorting:
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,885Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,095Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,273Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,666Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,728Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,974Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆722Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,747Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,351Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆680Updated 7 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆733Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆771Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,347Updated this week
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆655Updated 5 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆604Updated 7 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,299Updated 6 years ago
- Soft Actor-Critic☆1,161Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,293Updated 7 months ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆657Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆619Updated last year
- Collection of reinforcement learning algorithms☆2,790Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,155Updated 2 weeks ago
- PyTorch implementation of soft actor critic☆915Updated 3 months ago
- Simple A3C implementation with pytorch + multiprocessing☆656Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,652Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,038Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,256Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,187Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,845Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,077Updated 4 years ago