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...

Celý popis

Podrobná bibliografia

Vydané v:	2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI) s. 000123 - 000128
Hlavní autori:	Kovari, Balint, Pelenczei, Balint, Becsi, Tamas
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 25.05.2022
Predmet:	Intelligent Transportation Systems Monte Carlo methods Phase measurement Reinforcement learning Search problems Task analysis Traffic Control Training Transportation
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!