Approaches to Learning to Control Dynamic Uncertainty
In dynamic environments, when faced with a choice of which learning strategy to adopt, do people choose to mostly explore (maximizing their long term gains) or exploit (maximizing their short term gains)? More to the point, how does this choice of learning strategy influence one’s later ability to c...
Main Authors: | Magda Osman, Brian D. Glass, Zuzana Hola |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-10-01
|
Series: | Systems |
Subjects: | |
Online Access: | http://www.mdpi.com/2079-8954/3/4/211 |
Similar Items
-
Planning for uncertainty
by: Erica Catherine Yu
Published: (2012-11-01) -
Believer-Skeptic meets Actor-Critic: Rethinking the role of basal ganglia pathways during decision-making and reinforcement learning
by: Kyle eDunovan, et al.
Published: (2016-03-01) -
Approaches to Cognitive Modeling in Dynamic Systems Control
by: Daniel V. Holt, et al.
Published: (2017-11-01) -
Unfazed by Both the Bull and Bear: Strategic Exploration in Dynamic Environments
by: Peter S. Riefer, et al.
Published: (2015-08-01) -
Dopaminergic modulation of the exploration/exploitation trade-off in human decision-making
by: Karima Chakroun, et al.
Published: (2020-06-01)