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...
Main Authors: | Yen Yu, Acer Y. C. Chang, Ryota Kanai |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-01-01
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Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnbot.2018.00088/full |
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