Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning

Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning

Effective exploration is one of the critical factors affecting performance in deep reinforcement learning. Agents acquire data to learn the optimal policy through exploration, and if it is not guaranteed, the data quality deteriorates, which leads to performance degradation. This study investigates...

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Bibliographic Details
Main Authors:	Sooyoung Jang, Hyung-Il Kim
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Series:	Sensors
Subjects:	deep reinforcement learning entropy model initialization exploration
Online Access:	https://www.mdpi.com/1424-8220/22/15/5845

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