87 citations · 132 across the 27 of their papers we have counts for
5 papers · 1 filter
Deep Nash and Sequential Mean-Field Equilibria in Cooperative and Non-cooperative Games with Imperfect Information Structures
Jalal Arabneydi, Amir G. Aghdam
A class of nonzero-sum stochastic dynamic games with imperfect information structure is investigated. The game involves an arbitrary number of players, modeled as homogeneous Marko…
Deep Teams: Decentralized Decision Making with Finite and Infinite Number of Agents
Jalal Arabneydi, Amir G. Aghdam
Inspired by the concepts of deep learning in artificial intelligence and fairness in behavioural economics, we introduce deep teams in this paper. In such systems, agents are parti…
Data Collection versus Data Estimation: A Fundamental Trade-off in Dynamic Networks
Jalal Arabneydi, Amir G. Aghdam
An important question that often arises in the operation of networked systems is whether to collect the real-time data or to estimate them based on the previously collected data. V…
Deep Structured Teams with Linear Quadratic Model: Partial Equivariance and Gauge Transformation
Jalal Arabneydi, Amir G. Aghdam
Motivated by the recent developments in artificial intelligence, we introduce linear quadratic deep structured teams in this paper. Two notions of equivariant and partially equivar…
Explicit Sequential Equilibria in LQ Deep Structured Games and Weighted Mean-Field Games
Jalal Arabneydi, Amir G. Aghdam, Roland P. Malhamé
We investigate a class of nonzero-sum dynamic stochastic games where players have linear dynamics and quadratic costs, coupled in both dynamics and cost through a linear regression…