Convex-concave min-max stackelberg games
WebUnfortunately, a Nash equilibrium is not guaranteed to exist in zero-sum stochastic games when the payoffs at each state are not convex-concave in the players' actions. A Stackelberg equilibrium, however, is guaranteed to exist. Consequently, in this paper, we study zero-sum stochastic Stackelberg games. WebYou can find vacation rentals by owner (RBOs), and other popular Airbnb-style properties in Fawn Creek. Places to stay near Fawn Creek are 198.14 ft² on average, with prices …
Convex-concave min-max stackelberg games
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WebOct 5, 2024 · Min-max Stackelberg games were first studied by Wald, under the posthumous name of Wald's maximin model, a variant of which is the main paradigm … WebOct 5, 2024 · We introduce two first-order methods that solve a large class of convex-concave min-max Stackelberg games, and show that our methods converge in polynomial time.
WebMay 22, 2024 · Updated on May 22, 2024 Grammar. Concave describes shapes that curve inward, like an hourglass. Convex describes shapes that curve outward, like a football … WebConvex-Concave Min-Max Stackelberg Games . CoRR . Cite URL Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald (2024). Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games .
WebJul 17, 2024 · We present a new algorithm to solve min-max or min-min problems out of the convex world. We use rigidity assumptions, ubiquitous in learning, making our method applicable to many optimization problems. Our approach takes advantage of hidden regularity properties and allows us to devise a simple algorithm of ridge type. WebApr 12, 2024 · Title: Convex-Concave Min-Max Stackelberg Games Speaker: Denizalp (Deni) Goktas Abstract: Min-max optimization problems (i.e., min-max games) have …
WebIn convex-concave min-max games, where f is convex in xand concave in y, von Neumann and Morgenstern’s seminal minimax theorem holds (Neumann 1928): i.e., min x∈Xmax y∈Yf(x,y) = max y∈Ymin x∈Xf(x,y), guaranteeing the existence of a saddle point, i.e., a point that is simultaneously a mini-mum of fin the x-direction and a maximum of ...
WebWe introduce two first-order methods that solve a large class of convex-concave min-max Stackelberg games, and show that our methods converge in polynomial time. blacknest golf \\u0026 country clubWebApr 10, 2024 · In this paper, we propose a variance-reduced primal-dual algorithm with Bregman distance functions for solving convex-concave saddle-point problems with finite-sum structure and nonbilinear coupling function. This type of problem typically arises in machine learning and game theory. Based on some standard assumptions, the algorithm … blacknest golf courseWeband sufficient conditions for a tuple (x ⇤,y ) 2 X ⇥Y to be a Stackelberg equilibrium in a convex-concave min-max Stackelberg game are given by the KKT stationarity … garden city mo funeral homesWebWe present a straightforward generalization of GDA to min-max Stackelberg games with dependent strategy sets, but show that it may not converge to a Stackelberg equilibrium. We then introduce two variants of GDA, which assume access to a solution oracle for the optimal Karush Kuhn Tucker (KKT) multipliers of the games' constraints. garden city mo parts storeWebNov 23, 2015 · Abstract This paper firstly investigates the problem of uplink power control in cognitive radio networks (CRNs) with multiple primary users (PUs) and multiple second users (SUs) considering channel outage constraints and interference power constraints, where PUs and SUs compete with each other to maximize their utilities. We formulate a … garden city momo chickenWebWe introduce two first-order methods that solve a large class of convex-concave min-max Stackelberg games, and show that our methods converge in polynomial time. Min-max … blacknest industrial parkgarden city motorcycle accident