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Learning the optimal policy for Hanabi using deep reinforcement learning with quantized PWLC

Vos, Thomas (2025) Learning the optimal policy for Hanabi using deep reinforcement learning with quantized PWLC. Master's Thesis / Essay, Artificial Intelligence.

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Abstract

The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Dibangoye, J.S. and Sabatelli, M. and Fernandes Cunha, R.
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 13 Aug 2025 09:27
Last Modified: 13 Aug 2025 09:27
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/36770

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