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1 Ergebnisse
1
A Pedestrian Path-planning Model in Accordance with Obstacl..:
, In:
Proceedings of the 3rd International Conference on Information Science and Systems
,
Trinh, Thanh-Trung
;
Vu, Dinh-Minh
;
Kimura, Masaomi
- p. 115-120 , 2020
Link:
https://dl.acm.org/doi/10.1145/3388176.3388187
RT T1
Proceedings of the 3rd International Conference on Information Science and Systems
: T1
A Pedestrian Path-planning Model in Accordance with Obstacle's Danger with Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=acm-3388187&Exemplar=1&LAN=DE A1 Trinh, Thanh-Trung A1 Vu, Dinh-Minh A1 Kimura, Masaomi PB ACM YR 2020 K1 PPO K1 Pedestrian K1 navigation K1 path planning K1 reinforcement learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Applied computing K1 Law, social and behavioral sciences K1 Modeling and simulation K1 Simulation types and techniques K1 Agent / discrete models SP 115 OP 120 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3388176.3388187 DO https://dl.acm.org/doi/10.1145/3388176.3388187 SF ELIB - SuUB Bremen
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