An OpenAI Gym environment for Inventory Control problems
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Updated
Mar 26, 2020 - Python
An OpenAI Gym environment for Inventory Control problems
An R package providing access to the OpenAI Gym API
A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
A Julia package providing access to the OpenAI Gym API
Tinkering and Playing around!
Using Neural-evolution of Augmenting Topologies and OpenAI gym to train an AI to play SlitherIO
Summer of Code, IITB 2017. This project involves developing smart agents that can play simple PC games. We use OpenAI as the base platform for benchmarking and testing.
A simple CartPole gamebot using Open AI which keeps the stick balance on learning different positions
Gym is a toolkit for developing and comparing reinforcement learning algorithms.
Chef recipe to install Universe on an Ubuntu Vagrant box
Reinforcement learning on OpenAI gym's cartpole environment
OpenAI app that takes 2 inputs: 1. topic 2. action you want to perform for the topic
A game bot using OpenAI gym and Reinforcement Learinng
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
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