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A Java implementation of an AI agent that reasons using a Markov Decision Process

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MDP-Agent

The purpose of this assignment is to gain an understanding of the purpose and creation of Markov Decision Processes. An MDP is an augmented version of a Markov chain (a belief network with random variables in a sequence where each variable only directly depends on its predecessor in the sequence) which includes potential actions and rewards as nodes (Poole & Mackworth, 2017). In this assignment the following scenario will be modeled and implemented in the Java language.

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References

Poole, D. L., & Mackworth, A. K. (2017). Artificial Intelligence: Foundations of computational agents. Cambridge University Press.

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A Java implementation of an AI agent that reasons using a Markov Decision Process

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