MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments

Alegre, Lucas Nunes; Felten, Florian; Talbi, El-Ghazali; Danoy, Grégoire; Nowé, Ann; Bazzan, Ana; da Silva, Bruno

Reference : MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/52836

Title :	MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments
Language :	English
Author, co-author :	Alegre, Lucas Nunes [Vrije Universiteit Brussel - VUB > Artificial Intelligence Lab]
	Felten, Florian [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG >]
	Talbi, El-Ghazali [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Danoy, Grégoire [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Nowé, Ann [Vrije Universiteit Brussel - VUB > Artificial Intelligence Lab]
	Bazzan, Ana [Universidade Federal do Rio Grande do Sul]
	da Silva, Bruno [University of Massachusetts > CICS]
Publication date :	Nov-2022
Number of pages :	4
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	BNAIC/BeNeLearn 2022
Event date :	from 07-11-2022 to 09-11-2022
Event place (city) :	Mechelen
Event country :	Belgium
Keywords :	[en] Reinforcement Learning ; Multi-objective ; Environments
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > PCOG - Parallel Computing & Optimization Group
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/52836
Other URL :	https://bnaic2022.uantwerpen.be/wp-content/uploads/BNAICBeNeLearn_2022_submission_6485.pdf
FnR project :	FnR ; FNR14762457 > Gregoire Danoy > ADARS > Automating The Design Of Autonomous Robot Swarms > 01/05/2021 > 30/04/2024 > 2020

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