5 days ago · Papadimitriou & Roughgarden, 2005 (Papadimitriou and Roughgarden,, 2005) studied the computational complexity of finding the Nash equilibrium in symmetric multi ...

May 14, 2024 · We describe a new complete algorithm for computing Nash equilibrium in multiplayer general-sum games, based on a quadratically-constrained feasibility program ...

May 21, 2024 · In general, for games with more than three-players there are no known efficient algorithms to compute or approximate a Nash equilibrium either with or without ...

7 days ago · This dissertation develops a multi-agent model for the route-choice behaviors of drivers in a transportation network. The multi-agent model is a learning ...

May 22, 2024 · Our algorithm overcomes two major hurdles: 1) obtaining logarithmic regret even though the Nash equilibrium is estimable only at a $1/\sqrt{T}$ rate, and 2) ...

1 day ago · Even though a TMECor is equivalent to a Nash equilibrium in a two-player (a team and an opponent) zero-sum game, computing a TMECor is hard (i.e., APX-hard) ( ...

May 23, 2024 · We study the power of (competitive) algorithms with predictions in a multiagent setting. For this we introduce a multiagent version of the ski-rental ...

May 31, 2024 · I am interested in solid theoretical and algorithmic foundations for learning and computational decision-making under imperfect information.

May 16, 2024 · All Nash equilibria are stationary points. ... All strict Nash equilibria are asymptotically stable. ... All stationary points that are not Nash equilibria are ...

5 days ago · Nash equilibrium is usually effective for a small number of players. Rational players all adopt a dominant strategy and reach a certain equilibrium. The premise ...