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.

🧭 Keyword Pioneer — concurrent game
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Deep Learning, Machine Learning, Mathematics & Optimization, Reinforcement Learning
🌉 Interdisciplinary Bridge — Artificial Intelligence and Mathematics & Optimization
🐣 Hot Topic Early Bird — nash equilibrium