Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 57,812 bioRxiv papers from 266,109 authors.

Strategic exploration in human adaptive control

By Eric Schulz, Edgar Klenske, Neil Bramley, Maarten Speekenbrink

Posted 22 Feb 2017
bioRxiv DOI: 10.1101/110486

How do people explore in order to gain rewards in uncertain dynamical systems? Within a reinforcement learning paradigm, control normally involves trading off between exploration (i.e. trying out actions in order to gain more knowledge about the system) and exploitation (i.e. using current knowledge of the system to maximize reward). We study a novel control task in which participants must steer a boat on a grid, assessing whether participants explore strategically in order to produce higher rewards later on. We find that participants explore strategically yet conservatively, exploring more when mistakes are less costly and practicing actions that will be needed later on.

Download data

  • Downloaded 297 times
  • Download rankings, all-time:
    • Site-wide: 30,352 out of 57,812
    • In animal behavior and cognition: 397 out of 895
  • Year to date:
    • Site-wide: 45,259 out of 57,812
  • Since beginning of last month:
    • Site-wide: 29,150 out of 57,812

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide

Sign up for the Rxivist weekly newsletter! (Click here for more details.)