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handle: 2445/178495
[en] Stochastic games are a generalization of Markov’s decision processes and normal games. We assume that the game has a finite number of states and players. These play stage by stage and the actions they take determine the transition probabilities from one state to another. The number of stages played is not bounded in length. In this work we will study this type of game and all the prerequisites for a person with no experience in the field of game theory to understand each of the results obtained.
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Carles Rovira Escofet
Processos de Markov, Jocs no cooperatius (Matemàtica), Noncooperative games (Mathematics), Bachelor's thesis, Markov processes, Bachelor's theses, Treballs de fi de grau
Processos de Markov, Jocs no cooperatius (Matemàtica), Noncooperative games (Mathematics), Bachelor's thesis, Markov processes, Bachelor's theses, Treballs de fi de grau
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