English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Searching for rewards in graph-structured spaces

Wu, C., Schulz, E., & Gershman, S. (2019). Searching for rewards in graph-structured spaces. In Conference on Cognitive Computational Neuroscience (CCN 2019) (pp. 814-817).

Item is

Basic

show hide
Genre: Conference Paper

Files

show Files

Locators

show
hide
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Wu, CM, Author           
Schulz, E1, Author           
Gershman, SJ, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: How do people generalize and explore structured spaces? We study human behavior on a multi-armed bandit task, where rewards are influenced by the connectivity structure of a graph. A detailed predictive model comparison shows that a Gaussian Process regression model using a diffusion kernel is able to best describe participant choices, and also predict judgments about expected reward and confidence. This model unifies psychological models of function learning with the Successor Representation used in reinforcement learning, thereby building a bridge between different models of generalization.

Details

show
hide
Language(s): eng - English
 Dates: 2019-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.32470/CCN.2019.1041-0
 Degree: -

Event

show
hide
Title: Conference on Cognitive Computational Neuroscience (CCN 2019)
Place of Event: Berlin, Germany
Start-/End Date: 2019-09-13 - 2019-09-16

Legal Case

show

Project information

show

Source 1

show
hide
Title: Conference on Cognitive Computational Neuroscience (CCN 2019)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: PS-2B.64 Start / End Page: 814 - 817 Identifier: -