Strategy recovery for stochastic mean payoff games

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Strategy recovery for stochastic mean payoff games

We prove that to find optimal positional strategies for stochastic mean payoff games when the value of every state of the game is known, in general, is as hard as solving such games tout court. This answers a question posed by Daniel Andersson and Peter Bro Miltersen. In this note, we consider perfect information 0-sum stochastic games, which, for short, we will just call stochastic games. For ...

متن کامل

Stochastic Games with Parity Mean-payoff Objective

In this paper, we compute value of two-player games with perfect information equipped with the Par∧Avg>0 objectives. Moreover we show that even though the optimal strategies may require infinite memory, there exists an NP algorithm that computes the almost-sure region.

متن کامل

Perfect-Information Stochastic Mean-Payoff Parity Games

The theory of graph games is the foundation for modeling and synthesizing reactive processes. In the synthesis of stochastic processes, we use 2 2 -player games where some transitions of the game graph are controlled by two adversarial players, the System and the Environment, and the other transitions are determined probabilistically. We consider 212 -player games where the objective of the Sys...

متن کامل

Reduction of stochastic parity to stochastic mean-payoff games

A stochastic graph game is played by two players on a game graph with probabilistic transitions. We consider stochastic graph games with ω-regular winning conditions specified as parity objectives, and mean-payoff (or limit-average) objectives. These games lie in NP ∩ coNP. We present a polynomial-time Turing reduction of stochastic parity games to stochastic mean-payoff games.

متن کامل

Stochastic Mean Payoff Games: Smoothed Analysis and Approximation Schemes

We consider two-person zero-sum stochastic mean payoff games with perfect information modeled by a digraph with black, white, and random vertices. These BWR-games games are polynomially equivalent with the classical Gillette games, which include many well-known subclasses, such as cyclic games, simple stochastic games, stochastic parity games, and Markov decision processes. They can also be use...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Theoretical Computer Science

سال: 2017

ISSN: 0304-3975

DOI: 10.1016/j.tcs.2017.02.015