BRIM, Luboš and Jakub CHALOUPKA. Using Strategy Improvement to Stay Alive. In Games, Automata, Logics and Formal Verification (GandALF) 2010. Neuveden: Electronic Proceedings in Theoretical Computer Science (EPTCS), 2010, p. 40-54. ISSN 2075-2180.
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Basic information
Original name Using Strategy Improvement to Stay Alive
Name in Czech Přežívání pomocí techniky zlepšování strategie
Authors BRIM, Luboš (203 Czech Republic, guarantor, belonging to the institution) and Jakub CHALOUPKA (203 Czech Republic, belonging to the institution).
Edition Neuveden, Games, Automata, Logics and Formal Verification (GandALF) 2010, p. 40-54, 15 pp. 2010.
Publisher Electronic Proceedings in Theoretical Computer Science (EPTCS)
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/10:00044605
Organization unit Faculty of Informatics
ISSN 2075-2180
UT WoS 000304003000003
Keywords in English mean-payoff games; strategy improvement; experimental evaluation
Tags experimental evaluation, mean-payoff games, strategy improvement
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Luboš Brim, CSc., učo 197. Changed: 2/2/2011 09:30.
Abstract
We design a novel algorithm for solving Mean-Payoff Games (MPGs). Besides solving an MPG in the usual sense, our algorithm computes more information about the game, information that is important with respect to applications. The weights of the edges of an MPG can be thought of as a gained/consumed energy -- depending on the sign. For each vertex, our algorithm computes the minimum amount of initial energy that is sufficient for player Max to ensure that in a play starting from the vertex, the energy level never goes below zero. Our algorithm is not the first algorithm that computes the minimum sufficient initial energies, but according to our experimental study it is the fastest algorithm that computes them. The reason is that it utilizes the strategy improvement technique which is very efficient in practice.
Links
GA201/09/1389, research and development projectName: Verifikace a analýza velmi velkých počítačových systémů
Investor: Czech Science Foundation, Verification and Analysis of Large-Scale Computer Systems
GD102/09/H042, research and development projectName: Matematické a inženýrské metody pro vývoj spolehlivých a bezpečných paralelních a distribuovaných počítačových systémů
Investor: Czech Science Foundation
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
MUNI/A/0914/2009, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A
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