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We formulate and analyze a general class of stochastic dynamic games with asymmetric information arising in dynamic systems. In such games, multiple strategic agents control the system dynamics and have different information about the…

计算机科学与博弈论 · 计算机科学 2015-10-26 Yi Ouyang , Hamidreza Tavafoghi , Demosthenis Teneketzis

In dynamic games with asymmetric information structure, the widely used concept of equilibrium is perfect Bayesian equilibrium (PBE). This is expressed as a strategy and belief pair that simultaneously satisfy sequential rationality and…

计算机科学与博弈论 · 计算机科学 2016-09-15 Abhinav Sinha , Achilleas Anastasopoulos

One of the reasons why stochastic dynamic games with an underlying dynamic system are challenging is since strategic players have access to enormous amount of information which leads to the use of extremely complex strategies at…

计算机科学与博弈论 · 计算机科学 2024-07-18 Dengwang Tang , Vijay Subramanian , Demosthenis Teneketzis

We consider finite-horizon and infinite-horizon versions of a dynamic game with $N$ selfish players who observe their types privately and take actions that are publicly observed. Players' types evolve as conditionally independent Markov…

最优化与控制 · 数学 2018-03-20 Deepanshu Vasal , Abhinav Sinha , Achilleas Anastasopoulos

We study a general class of dynamic multi-agent decision problems with asymmetric information and non-strategic agents, which includes dynamic teams as a special case. When agents are non-strategic, an agent's strategy is known to the other…

多智能体系统 · 计算机科学 2018-12-05 Hamidreza Tavafoghi , Yi Ouyang , Demosthenis Teneketzis

We consider the problem of dynamic information design with one sender and one receiver where the sender observers a private state of the system and takes an action to send a signal based on its observation to a receiver. Based on this…

理论经济学 · 经济学 2020-05-18 Deepanshu Vasal

We analyze a class of stochastic dynamic games among teams with asymmetric information, where members of a team share their observations internally with a delay of $d$. Each team is associated with a controlled Markov Chain, whose dynamics…

多智能体系统 · 计算机科学 2024-02-05 Dengwang Tang , Hamidreza Tavafoghi , Vijay Subramanian , Ashutosh Nayyar , Demosthenis Teneketzis

We study the problem of Bayesian learning in a dynamical system involving strategic agents with asymmetric information. In a series of seminal papers in the literature, this problem has been investigated under a simplifying model where…

计算机科学与博弈论 · 计算机科学 2020-07-09 Deepanshu Vasal , Achilleas Anastasopoulos

This paper studies a multi-player, general-sum stochastic game characterized by a dual-stage temporal structure per period. The agents face uncertainty regarding the time-evolving state that is realized at the beginning of each period.…

计算机科学与博弈论 · 计算机科学 2023-10-09 Tao Zhang , Quanyan Zhu

We consider a finite horizon repeated game with $N$ selfish players who observe their types privately and take actions, which are publicly observed. Their actions and types jointly determine their instantaneous rewards. In each period,…

计算机科学与博弈论 · 计算机科学 2019-05-17 Deepanshu Vasal

Modeling the interaction between traffic agents is a key issue in designing safe and non-conservative maneuvers in autonomous driving. This problem can be challenging when multi-modality and behavioral uncertainties are engaged. Existing…

机器人学 · 计算机科学 2024-09-24 Zhenmin Huang , Tong Li , Shaojie Shen , Jun Ma

We consider in discrete time, a general class of sequential stochastic dynamic games with asymmetric information with the following features. The underlying system has Markovian dynamics controlled by the agents' joint actions. Each agent's…

多智能体系统 · 计算机科学 2023-01-16 Yi Ouyang , Hamidreza Tavafoghi , Demosthenis Teneketzis

This paper proposes the notion of robust PBE in a general competing mechanism game of incomplete information where a mechanism allows its designer to send a message to himself at the same time agents send messages. It identifies the utility…

理论经济学 · 经济学 2023-08-21 Seungjin Han

Decentralized team problems where players have asymmetric information about the state of the underlying stochastic system have been actively studied, but \emph{games} between such teams are less understood. We consider a general model of…

多智能体系统 · 计算机科学 2021-09-29 Dhruva Kartik , Ashutosh Nayyar , Urbashi Mitra

In~[1],authors considered a general finite horizon model of dynamic game of asymmetric information, where N players have types evolving as independent Markovian process, where each player observes its own type perfectly and actions of all…

计算机科学与博弈论 · 计算机科学 2020-07-09 Deepanshu Vasal

This paper aims to solve two fundamental problems on finite or infinite horizon dynamic games with perfect or almost perfect information. Under some mild conditions, we prove (1) the existence of subgame-perfect equilibria in general…

经济学 · 定量金融 2015-04-01 Wei He , Yeneng Sun

Consider an analyst who models a strategic situation using an incomplete information game. The true game may involve correlated, duplicated belief hierarchies, but the analyst lacks knowledge of the correlation structure and can only…

理论经济学 · 经济学 2026-03-13 Stephen Morris , Takashi Ui

We consider an environment where players need to decide whether to buy a certain product (or adopt a technology) or not. The product is either good or bad, but its true value is unknown to the players. Instead, each player has her own…

综合经济学 · 经济学 2022-07-22 Ilai Bistritz , Nasimeh Heydaribeni , Achilleas Anastasopoulos

Perfect Bayesian Equilibrium (PBE) is a refinement of the Nash equilibrium for imperfect-information extensive-form games (EFGs) that enforces consistency between the two components of a solution: agents' strategy profile describing their…

计算机科学与博弈论 · 计算机科学 2026-02-23 Christine Konicki , Mithun Chakraborty , Michael P. Wellman

When learning in strategic environments, a key question is whether agents can overcome uncertainty about their preferences to achieve outcomes they could have achieved absent any uncertainty. Can they do this solely through interactions…

计算机科学与博弈论 · 计算机科学 2024-11-21 Nivasini Ananthakrishnan , Nika Haghtalab , Chara Podimata , Kunhe Yang
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