A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning

Paladyn: Journal of Behavioral Robotics

Merrick Kathryn¹  Dhakan Paresh²  Rano Inaki²  Siddique Nazmul² 

[1] Department of Engineering and Information Technology, University of New South Wales, New South Wales, Australia;Intelligent Systems Research Centre, Ulster University, Ulster, UK;

关键词: novelty;    intrinsic motivation;    reinforcement learning;    reward function;    habituation;    action learning;   

DOI  :  10.1515/pjbr-2017-0004

来源: DOAJ

【 摘 要 】

This paper presents a review on the tri-partite relationship between novelty, intrinsic motivation and reinforcement learning. The paper first presents a literature survey on novelty and the different computational models of novelty detection, with a specific focus on the features of stimuli that trigger a Hedonic value for generating a novelty signal. It then presents an overview of intrinsic motivation and investigations into different models with the aim of exploring deeper co-relationships between specific features of a novelty signal and its effect on intrinsic motivation in producing a reward function. Finally, it presents survey results on reinforcement learning, different models and their functional relationship with intrinsic motivation.

【 授权许可】

Unknown