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arXiv · 1501.03093

MultiGain: A controller synthesis tool for MDPs with multiple mean-payoff objectives

Tomáš Brázdil·Krishnendu Chatterjee·Vojtěch Forejt·Antonín Kučera
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Abstract

We present MultiGain, a tool to synthesize strategies for Markov decision processes (MDPs) with multiple mean-payoff objectives. Our models are described in PRISM, and our tool uses the existing interface and simulator of PRISM. Our tool extends PRISM by adding novel algorithms for multiple mean-payoff objectives, and also provides features such as (i)~generating strategies and exploring them for simulation, and checking them with respect to other properties; and (ii)~generating an approximate Pareto curve for two mean-payoff objectives. In addition, we present a new practical algorithm for the analysis of MDPs with multiple mean-payoff objectives under memoryless strategies.

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Tomáš Brázdil, Krishnendu Chatterjee, Vojtěch Forejt, Antonín Kučera. 2015-01-13. MultiGain: A controller synthesis tool for MDPs with multiple mean-payoff objectives. https://arxiv.org/abs/1501.03093

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