OpenAI Gym

Authors: Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba

Published: 2016 (Technical Report)

Source: arXiv

Algorithm: Gym

arXiv: 1606.01540

Summary

Introduces OpenAI Gym as a common interface and benchmark collection for reinforcement learning experiments. Its main contribution is infrastructural: standardizing environments, result sharing, and evaluation workflows so RL algorithms can be compared more consistently.

Abstract

OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms. This whitepaper discusses the components of OpenAI Gym and the design decisions that went into the software.

Links

Primary

Paper arxiv.org

Standard

arXiv Abstract 1606.01540 arXiv PDF 1606.01540 arXiv HTML 1606.01540

Alternate

GitHub: openai/gym github.com

Tags

• OpenAI Gym

• Reinforcement learning

• Benchmarking

• Simulation environments

• Research infrastructure

• Standardized interface

• Open-source software