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from Part III - Probabilistic Models
Published online by Cambridge University Press: 19 May 2025
This chapter is about planning techniques for solving MDP problems. It presents algorithms that seeks optimal or near-optimal solution policies for a domain. Most of the chapter is focused on indefinite-horizon goal reachability domains that have positive costs and a safe solution; they may have dead ends, but those are avoidable. The chapter presents dynamic programming algorithms, heuristics search methods and their heuristics, linear programming methods, and online and Monte Carlo tree search techniques.
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