A review of the relationship between novelty, intrinsic motivation and reinforcement learning

N. Siddique, P. Dhakan, I. Rano, K. Merrick

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

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.

Original languageEnglish
JournalPaladyn: Journal of Behavioral Robotics
Volume8
Issue number1
Pages (from-to)58-69
ISSN2080-9778
DOIs
Publication statusPublished - Apr 2017
Externally publishedYes

Keywords

  • Action learning
  • Habituation
  • Intrinsic motivation
  • Novelty
  • Reinforcement learning
  • Reward function

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