Deep Q-Learning Network with Bayesian-Based Supervised Expert Learning

Deep Q-Learning Network with Bayesian-Based Supervised Expert Learning

Deep reinforcement learning (DRL) algorithms interact with the environment and have achieved considerable success in several decision-making problems. However, DRL requires a significant number of data before it can achieve adequate performance. Moreover, it might have limited applicability when DRL...

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Bibliographic Details
Main Author:	Chayoung Kim
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Symmetry
Subjects:	deep reinforcement learning deep Q-learning network behavioral cloning model expert supervised learning Bayesian approach
Online Access:	https://www.mdpi.com/2073-8994/14/10/2134

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