In this work we offer an (Formula presented.) pseudo-polynomial time deterministic algorithm for solving the Value Problem and Optimal Strategy Synthesis in Mean Payoff Games. This improves by a factor (Formula presented.) the best previously known pseudo-polynomial time upper bound due to Brim et al. The improvement hinges on a suitable characterization of values, and a description of optimal positional strategies, in terms of reweighted Energy Games and Small Energy-Progress Measures. © 2016 Springer Science+Business Media New York

Improved Pseudo-polynomial Bound for the Value Problem and Optimal Strategy Synthesis in Mean Payoff Games

RIZZI, ROMEO
2016-01-01

Abstract

In this work we offer an (Formula presented.) pseudo-polynomial time deterministic algorithm for solving the Value Problem and Optimal Strategy Synthesis in Mean Payoff Games. This improves by a factor (Formula presented.) the best previously known pseudo-polynomial time upper bound due to Brim et al. The improvement hinges on a suitable characterization of values, and a description of optimal positional strategies, in terms of reweighted Energy Games and Small Energy-Progress Measures. © 2016 Springer Science+Business Media New York
2016
Algorithms; Optimal systems; Polynomial approximation; Polynomials, Energy Games; Mean payoff games; Optimal strategies; Polynomial-time; Small energy; Value problems, Problem solving; Energy Games; Mean Payoff Games; Optimal Strategy Synthesis; Pseudo-polynomial time; Small Energy-Progress Measures; Value Problem
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/954996
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 232
  • ???jsp.display-item.citation.isi??? 8
social impact