Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning

Reinforcement Learning has gained tremendous attention recently, thanks to its excellent solutions in several challenging domains. However, the formulation of the reward signal is always difficult and crucially important since it is the only guidance that the agent has for solving the given control...

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Veröffentlicht in:	2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI) S. 000123 - 000128
Hauptverfasser:	Kovari, Balint, Pelenczei, Balint, Becsi, Tamas
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 25.05.2022
Schlagworte:	Intelligent Transportation Systems Monte Carlo methods Phase measurement Reinforcement learning Search problems Task analysis Traffic Control Training Transportation
Online-Zugang:	Volltext
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