Gym is a toolkit for developing and comparing reinforcement learning algorithms.
-
Updated
Dec 27, 2021 - Python
Gym is a toolkit for developing and comparing reinforcement learning algorithms.
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
Using a deep Q-learning network and searching for optimal hyperparameters in order to solve the lunar lander problem provided by OpenAI Gym.
Custom environment for OpenAI gym
My bachelor thesis in Bioinformatics
OpenAI Gym environments for classic (nonlinear) problems
In this project, we aim to balance the pole in OpenAI's Gym, Cartpole environment using different Deep Learning techniques.
OpenAI Gym for basketball game
This is the example to create the gif from the gym openai
Gym Armed Bandits is an environment bundle for OpenAI Gym
An Open AI Gym custom environment
Repository for a custom OpenAI Gym compatible environment for the Parrot Drone ANAFI 4K.
BitFlipper environment in OpenAI gym format
SharpDesktopGym uses CSharp environments for interaction with Python TensorFlow Agents.
A Taxi driver agent that learns using Q learning and Sarsa
A repository with some reinforcement learning projects
OpenAI Gym environments for Janggi (Korean chess)
OpenAI Gym environment for Chess, using the game engine of the python-chess module
Add a description, image, and links to the openai-gym-environments topic page so that developers can more easily learn about it.
To associate your repository with the openai-gym-environments topic, visit your repo's landing page and select "manage topics."