Alessandro Franco
Study on reinforcement-learning-based decision-making and planning in the context of non-deterministic scenarios.
Rel. Giovanni Squillero, Alberto Paolo Tonda. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
Making a choice is a complex task, involving many other processes that can heavily influence the final decision: experience plays a fundamental role in order to determine the consequences based on previous similar situations, as well as to analyse the context in which the decision is being made. In real life, even the most well thought plan however does not only take into account the various actors involved and the situation, but it must consider a certain degree of randomness at play that may critically disrupt the initial plan and requires the actor to adapt to new scenarios and make new choices to complete a task.
In the context of games this is a common scenario in which players find themselves in, from developing a strategy to actually enact it there are many decisions to be made during the course of a full game, meaning that players should approach the task with a consistent strategy but still be able to improvise in case of unexpected scenarios if they are to win
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