Why it is hard to be happy with what we have: A reinforcement learning perspective

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Why it is hard to be happy with what we have: A reinforcement learning perspective

Dubey, R., Griffiths, T., & Dayan, P. (submitted). Why it is hard to be happy with what we have: A reinforcement learning perspective.

Item is Discarded

Basic (Discarded)

Date of Discard: 2022-09-09

Comment: dublette

Creators:
Dubey, R
Griffiths, TL
Dayan, P^{1, 2}

Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794

Dates: Submitted: 2022-01

Files: 0 Files

Locators: 1 Locator

version ID: item_3361503_2

Item State: Discarded

Name of Context: Import Context of the MPI for Biological Cybernetics, Affiliated to: Max Planck Institute for Biological Cybernetics