MultiGain: A controller synthesis tool for MDPs with multiple mean-payoff objectives
January 13, 2015 Β· Declared Dead Β· π International Conference on Tools and Algorithms for Construction and Analysis of Systems
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Authors
TomΓ‘Ε‘ BrΓ‘zdil, Krishnendu Chatterjee, VojtΔch Forejt, AntonΓn KuΔera
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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