Treffer: Tianshou: A Highly Modularized Deep Reinforcement Learning Library.

Title:
Tianshou: A Highly Modularized Deep Reinforcement Learning Library.
Authors:
Jiayi Weng1 TRINKLE23897@GMAIL.COM, Huayu Chen1 CHENHUAY21@MAILS.TSINGHUA.EDU.CN, Dong Yan1 SPROBLVEM@GMAIL.COM, Kaichao You2 YOUKAICHAO@GMAIL.COM, Duburcq, Alexis3 ALEXIS.DUBURCQ@GMAIL.COM, Minghao Zhang2 MEHOOZHANG@GMAIL.COM, Yi Su4 NUANCE@GMAIL.COM, Hang Su1 SUHANGSS@TSINGHUA.EDU.CN, Jun Zhu1 DCSZJ@TSINGHUA.EDU.CN
Source:
Journal of Machine Learning Research. 2022, Vol. 23, p1-6. 6p.
Database:
Business Source Premier

Weitere Informationen

In this paper, we present Tianshou, a highly modularized Python library for deep reinforcement learning (DRL) that uses PyTorch as its backend. Tianshou intends to be research-friendly by providing a exible and reliable infrastructure of DRL algorithms. It supports online and offline training with more than 20 classic algorithms through a unified interface. To facilitate related research and prove Tianshou's reliability, we have released Tianshou's benchmark of MuJoCo environments, covering eight classic algorithms with state-of-the-art performance. We open-sourced Tianshou at https://github.com/thu-ml/tianshou/. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Machine Learning Research is the property of Microtome Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)