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1 Ergebnisse
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Model tree methods for explaining deep reinforcement learni..:
Gjærum, Vilde B.
;
Strümke, Inga
;
Løver, Jakob
..
Neurocomputing. 515 (2023) - p. 133-144 , 2023
Link:
https://doi.org/10.1016/j.neucom.2022.10.014
RT Journal T1
Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.neucom.2022.10.014&Exemplar=1&LAN=DE A1 Gjærum, Vilde B. A1 Strümke, Inga A1 Løver, Jakob A1 Miller, Timothy A1 Lekkas, Anastasios M. PB Elsevier BV YR 2023 SN 0925-2312 JF Neurocomputing VO 515 SP 133 OP 144 LK http://dx.doi.org/https://doi.org/10.1016/j.neucom.2022.10.014 DO https://doi.org/10.1016/j.neucom.2022.10.014 SF ELIB - SuUB Bremen
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