Paladyn (Nov 2017)

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

  • Siddique Nazmul,
  • Dhakan Paresh,
  • Rano Inaki,
  • Merrick Kathryn

DOI
https://doi.org/10.1515/pjbr-2017-0004
Journal volume & issue
Vol. 8, no. 1
pp. 58 – 69

Abstract

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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.

Keywords