21 citations · 63 across the 24 of their papers we have counts for
15 papers · 1 filter
MinMax Mean-Field Team Approach for a Leader-Follower Network: A Saddle-Point Strategy
Mohammad M. Baharloo, Jalal Arabneydi, Amir G. Aghdam
This paper investigates a soft-constrained MinMax control problem of a leader-follower network. The network consists of one leader and an arbitrary number of followers that wish to…
Team Optimal Control of Coupled Major-Minor Subsystems with Mean-Field Sharing
Jalal Arabneydi, Aditya Mahajan
In this paper, we investigate team optimal control of coupled major-minor subsystems with mean-field sharing. In such a model, there is one major subsystem that directly influences…
Team-Optimal Solution of Finite Number of Mean-Field Coupled LQG Subsystems
Jalal Arabneydi, Aditya Mahajan
A decentralized control system with linear dynamics, quadratic cost, and Gaussian disturbances is considered. The system consists of a finite number of subsystems whose dynamics an…
Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing
Jalal Arabneydi, Aditya Mahajan
In this paper, we are interested in systems with multiple agents that wish to collaborate in order to accomplish a common task while a) agents have different information (decentral…
Team Optimal Control of Coupled Subsystems with Mean-Field Sharing
Jalal Arabneydi, Aditya Mahajan
We investigate team optimal control of stochastic subsystems that are weakly coupled in dynamics (through the mean-field of the system) and are arbitrary coupled in the cost. The c…
A Certainty Equivalence Result in Team-Optimal Control of Mean-Field Coupled Markov Chains
Jalal Arabneydi, Amir G. Aghdam
This paper studies a large number of homogeneous Markov decision processes where the transition probabilities and costs are coupled in the empirical distribution of states (also ca…
Optimal Dynamic Pricing for Binary Demands in Smart Grids: A Fair and Privacy-Preserving Strategy
Jalal Arabneydi, Amir G. Aghdam
Motivated by demand-side management in smart grids, a decentralized controlled Markov chain formulation is proposed to model a homogeneous population of users with binary demands (…
Near-Optimal Design for Fault-Tolerant Systems with Homogeneous Components under Incomplete Information
Jalal Arabneydi, Amir G. Aghdam
In this paper, we study a fault-tolerant control for systems consisting of multiple homogeneous components such as parallel processing machines. This type of system is often more r…
Near-Optimal Control Strategy in Leader-Follower Networks: A Case Study for Linear Quadratic Mean-Field Teams
Mohammad M. Baharloo, Jalal Arabneydi, Amir G. Aghdam
In this paper, a decentralized stochastic control system consisting of one leader and many homogeneous followers is studied. The leader and followers are coupled in both dynamics a…
Optimal Distributed Control for Leader-Follower Networks: A Scalable Design
Jalal Arabneydi, Mohammad M. Baharloo, Amir G. Aghdam
The focus of this paper is directed towards optimal control of multi-agent systems consisting of one leader and a number of followers in the presence of noise. The dynamics of ever…
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…