| Paper: | PS-2B.53 | ||
| Session: | Poster Session 2B | ||
| Location: | H Fläche 1.OG | ||
| Session Time: | Sunday, September 15, 17:15 - 20:15 | ||
| Presentation Time: | Sunday, September 15, 17:15 - 20:15 | ||
| Presentation: | Poster | ||
| Publication: | 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany | ||
| Paper Title: | A way around the exploration-exploitation dilemma | ||
| Manuscript: | Click here to view manuscript | ||
| License: |  This work is licensed under a Creative Commons Attribution 3.0 Unported License. |
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| DOI: | https://doi.org/10.32470/CCN.2019.1365-0 | ||
| Authors: | Erik Peterson, Timothy Verstynen, Carnegie Mellon, United States | ||
| Abstract: | The exploration-exploitation dilemma is considered a fundamental but intractable problem in the learning and decision sciences. At its crux is the search to maximize reward. Here we challenge this view and show a way around the dilemma by defining separate mathematical objectives for exploration and exploitation. To make the objective for exploration independent of reward, we derive a set of general axioms for information value. Using these axioms we develop a greedy algorithm which provably and optimally maximizes both information and reward. | ||