Openai Gym Python Packages

simglucose

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

ribs

A bare-bones Python library for quality diversity optimization.

rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

jiminy-py

Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning

bark-ml

Gym environments and agents for autonomous driving.

finrl

FinRL®: Financial Reinforcement Learning. 🔥

gym-ignition

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

gym-jiminy

Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning

gym-electric-motor

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

scenario

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

mushroom-rl

Python library for Reinforcement Learning.

gym-tetris

An OpenAI Gym interface to Tetris on the NES.

rl-toolkit

RL-Toolkit: A Research Framework for Robotics

scenar-io

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

emflow

⚡ Open-source Python framework for modelling sequential decision problems in the energy sector

gym-janggi

OpenAI Gym environments for Janggi (Korean chess)

blocksworld3d

3D version of the classic Blocksworld environment for reinforcement learning

ma-gym

A collection of multi agent environments based on OpenAI gym.

robo-gym-server-modules

Robot Servers and Server Manager software for robo-gym

vimgolf-gym

OpenAI gym style Vimgolf environment and benchmark for AI

7wonder-rl-lib

Library providing environment for testing Reinforcement learning in 7 Wonders Game. Implemented using OpenAI Gym

oddsgym

A sports betting environment for OpenAI Gym.

rubiks-cube-gym

OpenAI Gym environments for various twisty puzzles

recogym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising