We present an analog of O'Neill's Theorem (Theorem 5.2 in [17]) for finite games, which reveals some of the structure of equilibria under payoff perturbations in finite games.
We propose an alternative to the tree representation of extensive form games. Games in product form represent information with $σ$-fields over a product set, and do not require an explicit description of the play temporality, as opposed to extensive form games on trees. This representation encompasses games with a continuum of actions, randomness and players, as well as games for which the play order cannot be determined in advance. We adapt and prove Kuhn's theorem-regarding equivalence between mixed and behavioral strategies under perfect recall-for games in product form with continuous acti…
研究了重复博弈中$ε$ -纳什均衡的计算问题。Borgs et al. [2010]的早期工作表明,这个问题是棘手的。我们表明,如果我们稍微改变他们的模型-将玩家建模为保持状态的多项式时间图灵机-并做一些标准的密码学硬度假设(公钥加密的存在),这个问题实际上可以在多项式时间内解决。我们的算法不仅适用于有限数量的球员的游戏,但也为常数度的图形游戏。由于纳什均衡是一个弱解的概念,广泛的形式游戏,我们另外定义和研究一个适当的概念,一个子游戏完美的平衡计算有界的球员,并显示如何有效地找到这样的平衡在重复的游戏(再次,标准的密码硬度假设)。
We state and prove Kuhn's equivalence theorem for a new representation of games, the intrinsic form. First, we introduce games in intrinsic form where information is represented by $σ$-fields over a product set. For this purpose, we adapt to games the intrinsic representation that Witsenhausen introduced in control theory. Those intrinsic games do not require an explicit description of the play temporality, as opposed to extensive form games on trees. Second, we prove, for this new and more general representation of games, that behavioral and mixed strategies are equivalent under perfect recal…
Representation theorems for actual and alpha powers over general concurrent game frames without assuming independence of agents
Institute for Logic, Language and Computation, University of Amsterdam(阿姆斯特丹大学逻辑、语言与计算研究所);School of Philosophy, Beijing Normal University(北京师范大学哲学学院);Department of Information Science and Media Studies, University of Bergen(卑尔根大学信息科学与媒体研究系);School of Philosophy, Shanxi University(山西大学哲学学院)
Matrix game, which is also known as two person zero sum game, is a famous model in game theory. There are some well established theories about it, such as von Neumann minimax theorem. However, almost no literature have reported the relationship between eigenvalue/eigenvector and properties of matrix game. In this paper, we find such relation of some special matrices and try to extend some conclusions to general matrix.
Mila, Université de Montréal(蒙特利尔大学米拉研究所);XTX Markets;DeepMind
Adversarial training, a special case of multi-objective optimization, is an increasingly prevalent machine learning technique: some of its most notable applications include GAN-based generative modeling and self-play techniques in reinforcement learning which have been applied to complex games such as Go or Poker. In practice, a \emph{single} pair of networks is typically trained in order to find an approximate equilibrium of a highly nonconcave-nonconvex adversarial problem. However, while a classic result in game theory states such an equilibrium exists in concave-convex games, there is no a…
The article introduces a notion of a stochastic game with failure states and proposes two logical systems with modality "coalition has a strategy to transition to a non-failure state with a given probability while achieving a given goal." The logical properties of this modality depend on whether the modal language allows the empty coalition. The main technical results are a completeness theorem for a logical system with the empty coalition, a strong completeness theorem for the logical system without the empty coalition, and an incompleteness theorem which shows that there is no strongly compl…
Representation Theorems for Actual Powers over Two-Agent General Concurrent Game Frames
Institute for Logic, Language and Computation, University of Amsterdam(阿姆斯特丹大学逻辑、语言与计算研究所);Beijing Normal University(北京师范大学);University of Bergen(卑尔根大学);Shanxi University(山西大学)
Motivated by applications in the security of cyber-physical systems, we pose the finite blocklength communication problem in the presence of a jammer as a zero-sum game between the encoder-decoder team and the jammer, by allowing the communicating team as well as the jammer only locally randomized strategies. The communicating team's problem is non-convex under locally randomized codes, and hence, in general, a minimax theorem need not hold for this game. However, we show that approximate minimax theorems hold in the sense that the minimax and maximin values of the game approach each other asy…