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MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments
Alegre, Lucas Nunes; FELTEN, Florian; TALBI, El-Ghazali et al.
2022BNAIC/BeNeLearn 2022
 

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Keywords :
Reinforcement Learning; Multi-objective; Environments
Research center :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > PCOG - Parallel Computing & Optimization Group
Disciplines :
Computer science
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
External co-authors :
yes
Language :
English
Title :
MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments
Publication date :
November 2022
Number of pages :
4
Event name :
BNAIC/BeNeLearn 2022
Event place :
Mechelen, Belgium
Event date :
from 07-11-2022 to 09-11-2022
Audience :
International
Focus Area :
Computational Sciences
FnR Project :
FNR14762457 - Automating The Design Of Autonomous Robot Swarms, 2020 (01/05/2021-30/04/2024) - Gregoire Danoy
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 22 November 2022

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