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Training the DDQN algorithm with imaginary trajectories

Schalekamp, Minne (2022) Training the DDQN algorithm with imaginary trajectories. Bachelor's Thesis, Artificial Intelligence.

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Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Sabatelli, M.
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 10 Aug 2022 09:46
Last Modified: 10 Aug 2022 09:47
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/28333

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