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20132026
most citedComparison of Algorithms for Simple Stochastic Games

8 citations · 25 across the 17 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.GT2019

Stopping Criteria for Value and Strategy Iteration on Concurrent Stochastic Reachability Games

Julia Eisentraut, Jan Křetínský, Alexej Rotar

We consider concurrent stochastic games played on graphs with reachability and safety objectives. These games can be solved by value iteration as well as strategy iteration, each o…

cs.GT2019

Approximating Values of Generalized-Reachability Stochastic Games

Pranav Ashok, Krishnendu Chatterjee, Jan Kretinsky +2

Simple stochastic games are turn-based 2.5-player games with a reachability objective. The basic question asks whether one player can ensure reaching a given target with at least a…

cs.LO2019

Semantic Labelling and Learning for Parity Game Solving in LTL Synthesis

Jan Křetínský, Alexander Manta, Tobias Meggendorfer

We propose "semantic labelling" as a novel ingredient for solving games in the context of LTL synthesis. It exploits recent advances in the automata-based approach, yielding more i…

cs.LO2019

Strategy Representation by Decision Trees with Linear Classifiers

Pranav Ashok, Tomáš Brázdil, Krishnendu Chatterjee +3

Graph games and Markov decision processes (MDPs) are standard models in reactive synthesis and verification of probabilistic systems with nondeterminism. The class of -regular w…

eess.SY2019

SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes

Pranav Ashok, Jan Křetínský, Kim Guldstrand Larsen +3

For hybrid Markov decision processes, UPPAAL Stratego can compute strategies that are safe for a given safety property and (in the limit) optimal for a given cost function. Unfortu…