koulanurag / ma-gymLinks
A collection of multi agent environments based on OpenAI gym.
☆627Updated 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:
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆739Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆672Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆782Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆675Updated 6 years ago
- Mean Field Multi-Agent Reinforcement Learning☆414Updated 5 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…☆194Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆314Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆453Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,311Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆712Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆528Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆549Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆689Updated 7 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆331Updated 2 years ago
- Tools for accelerating safe exploration research.☆579Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆437Updated 5 years ago
- ☆284Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆583Updated 4 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆766Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆200Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆655Updated 4 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆667Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆365Updated 2 years ago
- Repo for reproduction of sequential social dilemmas☆409Updated 10 months ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆614Updated 8 years ago