Farama-Foundation / SuperSuitLinks
A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers
☆488Updated 3 months ago
Alternatives and similar repositories for SuperSuit
Users that are interested in SuperSuit are comparing it to the libraries listed below
Sorting:
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆481Updated last year
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆852Updated this week
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆271Updated 3 months ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- Multi-objective Gymnasium environments for reinforcement learning☆351Updated 4 months ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆556Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆620Updated last year
- A Python interface for reinforcement learning environments☆385Updated 2 years ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆503Updated 9 months ago
- Dream to Control: Learning Behaviors by Latent Imagination☆562Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 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
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆419Updated 4 years ago
- A grid-world game engine for game AI research☆250Updated last year
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆728Updated 3 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆657Updated last week
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆116Updated last year
- A suite of test scenarios for multi-agent reinforcement learning.☆752Updated last week
- Tools for accelerating safe exploration research.☆566Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- World Models with TensorFlow 2☆292Updated 2 years ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆453Updated 2 weeks ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 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
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆446Updated 2 years ago
- High throughput synchronous and asynchronous reinforcement learning☆949Updated last week
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆649Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆513Updated 2 years ago
- Code for the paper "Phasic Policy Gradient"☆266Updated 2 years ago
- ☆316Updated 10 months ago