Deriving the Optimal Strategy for the Two Dice Pig Game via Reinforcement Learning

Deriving the Optimal Strategy for the Two Dice Pig Game via Reinforcement Learning

Games of chance have historically played a critical role in the development and teaching of probability theory and game theory, and, in the modern age, computer programming and reinforcement learning. In this paper, we derive the optimal strategy for playing the two-dice game Pig, both the standard...

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Detalles Bibliográficos
Autores principales: Tian Zhu, Merry H. Ma
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2022-08-01
Colección:Stats
Materias:
dynamic programming
game theory
Markov decision process
optimization
two-dice pig game
value iteration
Acceso en línea:https://www.mdpi.com/2571-905X/5/3/47

Internet

https://www.mdpi.com/2571-905X/5/3/47

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