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MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives

Tomás Brázdil, Krishnendu Chatterjee, Vojtech Forejt, Antonín Kucera

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 ii¾?generating strategies and exploring them for simulation, and checking them with respect to other properties; and iii¾?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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