Significant progress has been made recently in the following two lines of research intersection AI and game theory: (1) computation optimal strategies to commit (Stackelberg strategies), (2) correlated equilibria stochastic games. In this paper, we unite these by studying Stackelberg We provide theoretical results on value being able correlate, as well complexity about computing then modify QPA...

In this article, the anti-jamming communication problem is investigated from a game-theoretic learning perspective. By exploring and analyzing intelligent communication, we present characteristics of jammers requirements an approach. Such approach required self-sensing, self-decision making, self-coordination, self-evaluation, ability. Then (GTLAJ) paradigm proposed, its framework challenges ar...

The development of smart grids has paved the way for sustainable energy infrastructure to transition towards decentralized trading. As intelligent agents, sources engage in trading based on their surplus or deficit. Buyers and sellers (participants) should achieve maximum payoffs which buyers cut costs improve utilities, security sensitive information agents must be guaranteed. This paper provi...

OF THE DISSERTATION LEARNING, EXPERIMENTATION, AND EQUILIBRIUM SELECTION IN GAMES by Youngse Kim Doctor of Philosophy in Economics University of California, Los Angeles, 1992 Professor David K. Levine, Chair This dissertation addresses and resolves problem of selection among multiple equilibria in games, by perturbing the original system and then characterizing the outcome of resulting perturbe...