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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Bibliographic Details

Published in:	2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI) pp. 000123 - 000128
Main Authors:	Kovari, Balint, Pelenczei, Balint, Becsi, Tamas
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25.05.2022
Subjects:	Intelligent Transportation Systems Monte Carlo methods Phase measurement Reinforcement learning Search problems Task analysis Traffic Control Training Transportation
Online Access:	Get full text
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