Extended Abstract - CS 224R Deep Reinforcement Learning

It is strongly suggested that in case of perfect play by the computer the original 4 × 4 game cannot be won. We will revisit and extend some of ...







Reinforcement learning in 2048 game
This paper uses reinforcement learning with neural networks to play 2048, using Temporal Difference and Monte Carlo Control methods with ...
General Board Game Playing Framework - TH Köln
For the game 2048, a single n-tuple involves 15n weights. Thus, in order to obtain networks with a manageable number of weights, we limited the ...
Theoretical Properties of 2048 - LIACS Thesis Repository
Similarly, the score is about 21,000 for a 2048-tile, about 46,000 for a 4096-tile, about 100,000 for an 8192-tile, about 220,000 for a 16384-tile, and about ...
Reinforcement Learning for 2048 - Michael Baluja
Multi-stage TD (MS-TD) learning is a hierarchical reinforcement method that improves the ability of AI programs to reach large tiles in 2048-like games.
Temporal Difference Learning of N-Tuple Networks for the Game 2048
In this paper, we propose to use optimistic initialization (OI) to improve the TD methods for 2048. ... This method has been widely applied to many game-playing ...
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Guida dell'utente
La diffusion de cette thèse se fait dans le respect des droits de son auteur, qui a signé le formulaire Autorisation de reproduire et de diffuser un travail ...
Simulating Human Routines Integrating Social Practice Theory in ...
Menke MN, Dabov S, Knecht P, Sturm V; Reproducibility of retinal thickness measurements in patients with age-related.