3 citations · 9 across the 22 of their papers we have counts for
9 papers · 1 filter
Network Design for Social Welfare
Abhishek Shende, Deepanshu Vasal, Sriram Vishwanath
In this paper, we consider the problem of network design on network games. We study the conditions on the adjacency matrix of the underlying network to design a game such that the…
Existence of structured perfect Bayesian equilibrium in dynamic games of asymmetric information
Deepanshu Vasal
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…
Mechanism Design for Large Scale Network Utility Maximization
Meng Zhang, Deepanshu Vasal
Network utility maximization (NUM) is a general framework for designing distributed optimization algorithms for large-scale networks. An economic challenge arises in the presence o…
Master equation of discrete time graphon mean field games and teams
Deepanshu Vasal, Rajesh K Mishra, Sriram Vishwanath
In this paper, we present a sequential decomposition algorithm equivalent of Master equation to compute GMFE of GMFG and graphon optimal Markovian policies (GOMPs) of graphon mean…
Markov perfect equilibria in non-stationary mean-field games
Deepanshu Vasal
In this paper, we consider both finite and infinite horizon discounted dynamic mean-field games where there is a large population of homogeneous players sequentially making strateg…
Incentive design for learning in user-recommendation systems with time-varying states
Deepanshu Vasal, Vijay Subramanian, Achilleas Anastasopoulos
We consider the problem of how strategic users with asymmetric information can learn an underlying time varying state in a user-recommendation system. Users who observe private sig…
Sequential decomposition of repeated games with asymmetric information and dependent states
Deepanshu Vasal
We consider a finite horizon repeated game with selfish players who observe their types privately and take actions, which are publicly observed. Their actions and types jointly…
Decentralized Bayesian learning in dynamic games: A framework for studying informational cascades
Deepanshu Vasal, Achilleas Anastasopoulos
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 proble…
Signaling equilibria for dynamic LQG games with asymmetric information
Deepanshu Vasal, Achilleas Anastasopoulos
We consider a finite horizon dynamic game with two players who observe their types privately and take actions, which are publicly observed. Players' types evolve as independent, co…