Farama-Foundation / MinigridLinks
Simple and easily configurable grid world environments for reinforcement learning
☆2,362Updated last month
Alternatives and similar repositories for Minigrid
Users that are interested in Minigrid are comparing it to the libraries listed below
Sorting:
- A toolkit for reproducible reinforcement learning research.☆2,049Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆703Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,369Updated last year
- Collection of reinforcement learning algorithms☆2,818Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,188Updated 3 years ago
- ☆1,285Updated last year
- Reinforcement Learning in PyTorch☆2,269Updated 4 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,117Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,690Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,287Updated last year
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆744Updated last month
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,206Updated last week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,314Updated 8 months ago
- A collection of reference environments for offline reinforcement learning☆1,616Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,260Updated 4 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,853Updated 3 years ago
- A benchmark environment for fully cooperative human-AI performance.☆898Updated 8 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,626Updated last month
- Python library for Reinforcement Learning.☆916Updated 3 months ago
- A collection of multi agent environments based on OpenAI gym.☆621Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,992Updated 2 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,315Updated 3 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,900Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,315Updated 2 weeks ago
- Soft Actor-Critic☆1,180Updated last year
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆868Updated 4 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,631Updated 10 months ago
- A suite of test scenarios for multi-agent reinforcement learning.☆758Updated 3 weeks ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,301Updated 6 years ago