Openai Gym Environment Python Packages

gym-ignition

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

scenario

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

scenar-io

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

jssenv

An OpenAi Gym environment for the Job Shop Scheduling problem.

fanorona-aec

A PettingZoo AECEnv implementation of the board game Fanorona

flappy-bird-gym

An OpenAI Gym environment for the Flappy Bird game

gym-novel-gridworlds

Gym Novel Gridworlds are environments for OpenAI Gym.

simpleenvs

A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.

quadrotorenvironment

OpenAI Gym Environment for Quadrotors

vector-velocity-gym

A space-themed OpenAI Gym environment designed for reinforcement learning. Users pilot a spaceship through an asteroid field while collecting coins. The environment increases in difficulty as the speed escalates, with asteroids and coins spawning randomly, providing dynamic challenges that are ideal for developing and refining Agents

gym-robotorydownscale

A Deep Reinforcement Learning Framework (simulation) with OpenAI-Gym and PyBullet Environment for the 7-DOF manipulator downscale version from Robotory - SKKU

podworld

OpenAI Gym environment emphasizing Partially Observable Dynamic physics-based fast cross-platform 2D world

flappy-bird-gyms

An OpenAI Gym environment for the Flappy Bird game

simple-memory-testing-env

This is a simple OpenAI Gym-compatible environment to test RL agent's memory.