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Stable-Baselines3: Reliable Reinforcement Learning Implementations

Raffin, Antonin and Hill, Ashley and Gleave, Adam and Kanervisto, Anssi and Ernestus, Maximilian and Dormann, Noah (2021) Stable-Baselines3: Reliable Reinforcement Learning Implementations. Journal of Machine Learning Research. Microtome Publishing. ISSN 1532-4435.

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Official URL: https://www.jmlr.org/papers/v22/20-1364.html

Abstract

Stable-Baselines3 provides open-source implementations of deep reinforcement learning (RL) algorithms in Python. The implementations have been benchmarked against reference codebases, and automated unit tests cover 95% of the code. The algorithms follow a consistent interface and are accompanied by extensive documentation, making it simple to train and compare different RL algorithms. Our documentation, examples, and source-code are available at https://github.com/DLR-RM/stable-baselines3.

Item URL in elib:https://elib.dlr.de/146386/
Document Type:Article
Title:Stable-Baselines3: Reliable Reinforcement Learning Implementations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Raffin, AntoninUNSPECIFIEDhttps://orcid.org/0000-0001-6036-6950UNSPECIFIED
Hill, AshleyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gleave, AdamUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kanervisto, AnssiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ernestus, MaximilianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dormann, NoahUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2021
Journal or Publication Title:Journal of Machine Learning Research
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Mueller, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Microtome Publishing
ISSN:1532-4435
Status:Published
Keywords:Reinforcement Learning, Baselines, Software, Open-Source, Python, PyTorch
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Autonomous learning robots [RO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Raffin, Antonin
Deposited On:30 Nov 2021 14:45
Last Modified:22 Dec 2023 11:09

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