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A practical guide to multi-objective reinforcement learning..:
Hayes, Conor
;
Rădulescu, Roxana
;
Bargiacchi, Eugenio
...
Autonomous Agents and Multi-Agent Systems Vol. 36, no. 1 (2022), p.. , 2022
Link:
http://researchonline.federation.edu.au/vital/access/H..
RT Journal T1
A practical guide to multi-objective reinforcement learning and planning
UL https://suche.suub.uni-bremen.de/peid=base-ftfederationuniv:vital:17268&Exemplar=1&LAN=DE A1 Hayes, Conor A1 Rădulescu, Roxana A1 Bargiacchi, Eugenio A1 Källström, Johan A1 Macfarlane, Matthew A1 Reymond, Mathieu A1 Verstraeten, Timothy A1 Zintgraf, Luisa A1 Dazeley, Richard A1 Heintz, Frederick A1 Howley, Enda A1 Irissappane, Athirai A1 Mannion, Patrick A1 Nowé, Ann A1 Ramos, Gabriel A1 Restelli, Marcello A1 Vamplew, Peter A1 Roijers, Diederik PB Springer YR 2022 K1 4602 Artificial intelligence K1 Multi-objective decision making K1 Multi-objective multi-agent systems K1 Multi-objective planning K1 Multi-objective reinforcement learning JF Autonomous Agents and Multi-Agent Systems Vol. 36, no. 1 (2022), p. LK http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/188509 DO http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/188509 SF ELIB - SuUB Bremen
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