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

January 13, 2015 Β· Declared Dead Β· πŸ› International Conference on Tools and Algorithms for Construction and Analysis of Systems

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Authors TomΓ‘Ε‘ BrΓ‘zdil, Krishnendu Chatterjee, VojtΔ›ch Forejt, AntonΓ­n Kučera arXiv ID 1501.03093 Category cs.AI: Artificial Intelligence Cross-listed cs.LO Citations 25 Venue International Conference on Tools and Algorithms for Construction and Analysis of Systems Last Checked 4 months ago
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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