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1 Ergebnisse
1
Non-Stationary Policy Learning for Multi-Timescale Multi-Ag..:
, In:
2023 62nd IEEE Conference on Decision and Control (CDC)
,
Emami, Patrick
;
Zhang, Xiangyu
;
Biagioni, David
. - p. 2372-2378 , 2023
Link:
https://doi.org/10.1109/CDC49753.2023.10384223
RT T1
2023 62nd IEEE Conference on Decision and Control (CDC)
: T1
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10384223&Exemplar=1&LAN=DE A1 Emami, Patrick A1 Zhang, Xiangyu A1 Biagioni, David A1 Zamzam, Ahmed S. YR 2023 SN 2576-2370 K1 Neural networks K1 Reinforcement learning K1 Behavioral sciences K1 Power systems K1 Complex systems K1 Building management systems SP 2372 OP 2378 LK http://dx.doi.org/https://doi.org/10.1109/CDC49753.2023.10384223 DO https://doi.org/10.1109/CDC49753.2023.10384223 SF ELIB - SuUB Bremen
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