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Uncovering Utility Functions from Observational Data with Revealed Preference Inverse Reinforcement Learning

Grześkiewicz, Marta; (2024) Uncovering Utility Functions from Observational Data with Revealed Preference Inverse Reinforcement Learning. Doctoral thesis (Ph.D), UCL (University College London). Green open access

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Abstract

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Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Uncovering Utility Functions from Observational Data with Revealed Preference Inverse Reinforcement Learning
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2024. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10194435
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