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arXiv · 1302.1575

Fast Value Iteration for Goal-Directed Markov Decision Processes

Nevin Lianwen Zhang·Weihong Zhang
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Abstract

Planning problems where effects of actions are non-deterministic can be modeled as Markov decision processes. Planning problems are usually goal-directed. This paper proposes several techniques for exploiting the goal-directedness to accelerate value iteration, a standard algorithm for solving Markov decision processes. Empirical studies have shown that the techniques can bring about significant speedups.

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Nevin Lianwen Zhang, Weihong Zhang. 2013-02-06. Fast Value Iteration for Goal-Directed Markov Decision Processes. https://arxiv.org/abs/1302.1575

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