Convolutional neural networks and tree search algorithms for mastering the 2048 game
Pisano, Davide (A.A. 2024/2025) Convolutional neural networks and tree search algorithms for mastering the 2048 game. Tesi di Laurea in Introduction to computer programming, Luiss Guido Carli, relatore Alessio Martino, pp. 34. [Bachelor's Degree Thesis]
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Abstract/Index
The game 2048. Overview of the approach. Related works and background. Methods. Convolutional neural network. Expectimax. Beam search. Experimental results and analysis.
References
Bibliografia: p. 31.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Introduction to computer programming |
| Thesis Supervisor: | Martino, Alessio |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Nov 2025 16:25 |
| Last Modified: | 13 Nov 2025 16:25 |
| URI: | https://tesi.luiss.it/id/eprint/43852 |
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