2017
IJCAI
IJCAI 2017
Nash Equilibria in Concurrent Games with Lexicographic Preferences
Abstract
We study concurrent games with finite-memory strategies where players are given a Buchi and a mean-payoff objective, which are related by a lexicographic order: a player first prefers to satisfy its Buchi objective, and then prefers to minimise costs, which are given by a mean-payoff function. In particular, we show that deciding the existence of a strict Nash equilibrium in such games is decidable, even if players' deviations are implemented as infinite memory strategies.
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Keyword Pioneer
— concurrent game
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Deep Learning, Machine Learning, Mathematics & Optimization, Reinforcement Learning
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Interdisciplinary Bridge
— Artificial Intelligence and Mathematics & Optimization
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Hot Topic Early Bird
— nash equilibrium