A Change Detection Model for Non-Stationary K-Armed Bandit

March 14, 2023

Abstract:

Our presentation deals with the question “Is cognitive science relevant to AI problems?” We support the position that cross-fertilization between the two fields is not only possible, but necessary. We provide a concrete example where inspiration from cognitive science led to concrete lines of inquiry in reinforcement learning.

Authors

Carlos Diuk

Michael Littman

DOI:

HOW TO CITE:

Carlos Diuk||Michael Littman A Change Detection Model for Non-Stationary K-Armed Bandit Papers from the 2006 AAAI Spring Symposium (2006) .

Carlos Diuk||Michael Littman A Change Detection Model for Non-Stationary K-Armed Bandit Spring 2006, .

Carlos Diuk||Michael Littman (2006). A Change Detection Model for Non-Stationary K-Armed Bandit. Papers from the 2006 AAAI Spring Symposium, .

Carlos Diuk||Michael Littman. A Change Detection Model for Non-Stationary K-Armed Bandit. Papers from the 2006 AAAI Spring Symposium 2006 p..

Carlos Diuk||Michael Littman. 2006. A Change Detection Model for Non-Stationary K-Armed Bandit. "Papers from the 2006 AAAI Spring Symposium". .

Carlos Diuk||Michael Littman. (2006) "A Change Detection Model for Non-Stationary K-Armed Bandit", Papers from the 2006 AAAI Spring Symposium, p.

Carlos Diuk||Michael Littman, "A Change Detection Model for Non-Stationary K-Armed Bandit", Spring, p., 2006.

Carlos Diuk||Michael Littman. "A Change Detection Model for Non-Stationary K-Armed Bandit". Papers from the 2006 AAAI Spring Symposium, 2006, p..

Carlos Diuk||Michael Littman. "A Change Detection Model for Non-Stationary K-Armed Bandit". Papers from the 2006 AAAI Spring Symposium, (2006): .

Carlos Diuk||Michael Littman. A Change Detection Model for Non-Stationary K-Armed Bandit. Spring[Internet]. 2006[cited 2023]; .

ISSN:

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