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1 Ergebnisse
1
Transferring Multi-Agent Reinforcement Learning Policies fo..:
, In:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
,
Candela, Eduardo
;
Parada, Leandro
;
Marques, Luis
... - p. 8814-8820 , 2022
Link:
https://doi.org/10.1109/IROS47612.2022.9981319
RT T1 <cTitle>2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)</cTitle>: T1 <Title>Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9981319&Exemplar=1&LAN=DE A1 Candela, Eduardo A1 Parada, Leandro A1 Marques, Luis A1 Georgescu, Tiberiu-Andrei A1 Demiris, Yiannis A1 Angeloudis, Panagiotis YR 2022 SN 2153-0866 K1 Training K1 Heuristic algorithms K1 Collaboration K1 Reinforcement learning K1 Safety K1 Synchronization K1 Task analysis SP 8814 OP 8820 LK http://dx.doi.org/https://doi.org/10.1109/IROS47612.2022.9981319 DO https://doi.org/10.1109/IROS47612.2022.9981319 SF ELIB - SuUB Bremen
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