Preprint · 2016

OpenAI Gym

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

VenuearXiv
DOI10.48550/arXiv.1606.01540
URLhttp://arxiv.org/abs/1606.01540
TopicsReplicHAI / Agent Evals / 09 Training environments & gyms
TagsComputer Science - Artificial Intelligence, Computer Science - Machine Learning
archiveIDarXiv:1606.01540
extraarXiv:1606.01540 [cs.LG]
libraryCatalogarXiv.org

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.

BibTeX

@misc{brockman_openai_2016,
	title = {{OpenAI} {Gym}},
	url = {http://arxiv.org/abs/1606.01540},
	doi = {10.48550/arXiv.1606.01540},
	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.},
	urldate = {2026-11-06},
	publisher = {arXiv},
	author = {Brockman, Greg and Cheung, Vicki and Pettersson, Ludwig and Schneider, Jonas and Schulman, John and Tang, Jie and Zaremba, Wojciech},
	month = jun,
	year = {2016},
	note = {arXiv:1606.01540 [cs.LG]},
	keywords = {Computer Science - Artificial Intelligence, Computer Science - Machine Learning},
}