Preprint · 2016
OpenAI Gym
| Venue | arXiv |
|---|---|
| DOI | 10.48550/arXiv.1606.01540 |
| URL | http://arxiv.org/abs/1606.01540 |
| Topics | ReplicHAI / Agent Evals / 09 Training environments & gyms |
| Tags | Computer Science - Artificial Intelligence, Computer Science - Machine Learning |
| archiveID | arXiv:1606.01540 |
| extra | arXiv:1606.01540 [cs.LG] |
| libraryCatalog | arXiv.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},
}