Boredom-Driven Curious Learning by Homeo-Heterostatic Value Gradients

Boredom-Driven Curious Learning by Homeo-Heterostatic Value Gradients

This paper presents the Homeo-Heterostatic Value Gradients (HHVG) algorithm as a formal account on the constructive interplay between boredom and curiosity which gives rise to effective exploration and superior forward model learning. We offer an instrumental view of action selection, in which an ac...

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Bibliographic Details
Main Authors: Yen Yu, Acer Y. C. Chang, Ryota Kanai
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Neurorobotics
Subjects:
curiosity
boredom
goal-directedness
intrinsic motivation
outcome devaluation
satiety
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2018.00088/full

Internet

https://www.frontiersin.org/article/10.3389/fnbot.2018.00088/full

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