koulanurag / ma-gymLinks
A collection of multi agent environments based on OpenAI gym.
☆606Updated last year
Alternatives and similar repositories for ma-gym
Users that are interested in ma-gym are comparing it to the libraries listed below
Sorting:
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆706Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆715Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆641Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆755Updated 3 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆608Updated 9 months ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆664Updated 7 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,221Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆435Updated 2 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆193Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆633Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆592Updated 7 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆489Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,047Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆305Updated 11 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆315Updated 2 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,602Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,613Updated 11 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆345Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆354Updated 6 years ago
- multi-agent deep reinforcement learning for networked system control.☆419Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆755Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆690Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,314Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers with code☆376Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆634Updated 4 years ago
- Tools for accelerating safe exploration research.☆547Updated 2 years ago