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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Bernhard, J.; Gieselmann, R.; Esterle, K.; Knoll, A. 
Titel:
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning 
Stichworte:
learning (artificial intelligence); mobile robots; optimal control; path planning; robust control; search problems; statistical analysis; deep Q-network; experience-based-heuristic-search algorithm; deep-reinforcement-learning-based planner; search-based motion planners; self-driving vehicles; semistructured valet parking scenarios; path planning; pre-learned optimal policy; statistical failure rate; autonomous vehicles; safety critical systems; higher-dimensional problems; optimal driving strat...    »
 
Herausgeber:
IEEE 
Kongress- / Buchtitel:
2018 21st International Conference on Intelligent Transportation Systems (ITSC) 
Konferenzort:
Maui, Hawaii 
Jahr:
2018 
Seiten:
3175-3182