An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
MIT License
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An API standard for multi-agent reinforcement learning environments, with popular reference envir...
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
Isaac Gym Environments for Legged Robots
Gym environments for "baba is you" https://store.steampowered.com/app/736260/Baba_Is_You/
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods f...
Reinforcement Learning in PyTorch
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcemen...
Classic control gym environments with non-normalized and normalized observation vectors
Simple and easily configurable grid world environments for reinforcement learning
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
OpenAI Gym Environment for Quadrotors
A simple Q-learning implementation in OpenAI Gym's "Taxi-v3" environment.
Set of robotic environments based on PyBullet physics engine and gymnasium.
Some basic examples of playing with RL