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BY-NC-ND 4.0 license Open Access Published by De Gruyter Open Access December 7, 2017

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

  • Nazmul Siddique EMAIL logo , Paresh Dhakan , Inaki Rano and Kathryn Merrick


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.


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Received: 2016-05-03
Accepted: 2017-10-04
Published Online: 2017-12-07
Published in Print: 2017-11-27

© 2017 Nazmul Siddique et al

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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