Farama-Foundation / MicroRTS-Py
A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
☆234Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for MicroRTS-Py
- A grid-world game engine for game AI research☆233Updated 7 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆230Updated 2 weeks ago
- Code for the paper "Phasic Policy Gradient"☆252Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆190Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆192Updated 2 years ago
- Pytorch Implementation of MuZero☆343Updated last year
- Lightweight multi-agent gridworld Gym environment☆198Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆290Updated 3 weeks ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- ☆286Updated last year
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning☆286Updated 4 months ago
- A tool to automate installing Atari ROMs for the Arcade Learning Environment☆77Updated last year
- Benchmarking the Spectrum of Agent Capabilities☆389Updated 10 months ago
- A Python interface for reinforcement learning environments☆346Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆281Updated last year
- A collection of multi agent environments based on OpenAI gym.☆574Updated 4 months ago
- An API conversion tool for popular external reinforcement learning environments☆139Updated last month
- ☆216Updated 9 months ago
- ☆201Updated this week
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆297Updated this week
- Gridworld for MARL experiments☆137Updated 3 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆346Updated 2 weeks ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆296Updated 3 years ago
- Sokoban environment for OpenAI Gym☆330Updated last year
- Datasets with baselines for offline multi-agent reinforcement learning.☆144Updated 2 weeks ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- ☆136Updated 3 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆149Updated last year
- Keeping track of RL experiments☆159Updated last year