openai / multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
☆2,388Updated 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"☆1,648Updated 7 months ago
- Python Multi-Agent Reinforcement Learning framework☆1,883Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,326Updated 4 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,461Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,107Updated 9 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆669Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,693Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,717Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆617Updated 6 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,222Updated 11 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆672Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆670Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,230Updated 5 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,607Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,125Updated this week
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆529Updated 7 years ago
- Collection of reinforcement learning algorithms☆2,504Updated 5 months ago
- A collection of multi agent environments based on OpenAI gym.☆574Updated 4 months ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆577Updated 4 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆541Updated 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 Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,107Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆622Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,130Updated 11 months ago
- A toolkit for reproducible reinforcement learning research.☆1,882Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆654Updated 6 months ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,049Updated last month
- Soft Actor-Critic☆1,006Updated 11 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,054Updated 3 years ago