openai / multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
☆2,372Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for multiagent-particle-envs
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,640Updated 7 months ago
- Python Multi-Agent Reinforcement Learning framework☆1,875Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,102Updated 8 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
- A Platform for Many-Agent Reinforcement Learning☆1,691Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆665Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,310Updated 3 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆671Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆615Updated 6 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,707Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,115Updated last week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,215Updated 11 months ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆668Updated 2 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆2,613Updated 2 months ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆572Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,498Updated 4 months ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,230Updated 5 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,035Updated 3 weeks ago
- A collection of multi agent environments based on OpenAI gym.☆569Updated 4 months ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆526Updated 6 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,594Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆535Updated 2 years ago
- PyTorch implementation of soft actor critic☆813Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,105Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,120Updated 11 months ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆930Updated 5 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆706Updated 10 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- Soft Actor-Critic☆998Updated 11 months ago