335 citations · 1.1k across the 63 of their papers we have counts for
10 papers · 1 filter
Hierarchical Functionality Prioritization in Multicast ISAC: Optimal Admission Control and Discrete-Phase Beamforming
Luis F. Abanto-Leon, Setareh Maghsudi
We investigate the joint admission control and discrete-phase multicast beamforming design for integrated sensing and communications (ISAC) systems, where sensing and communication…
From Code to Play: Benchmarking Program Search for Games Using Large Language Models
Manuel Eberhardinger, James Goodman, Alexander Dockhorn +5
Large language models (LLMs) have shown impressive capabilities in generating program code, opening exciting opportunities for applying program synthesis to games. In this work, we…
Online Influence Maximization with Semi-Bandit Feedback under Corruptions
Xiaotong Cheng, Behzad Nourani-Koliji, Setareh Maghsudi
In this work, we investigate the online influence maximization in social networks. Most prior research studies on online influence maximization assume that the nodes are fully coop…
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
Manuel Eberhardinger, Florian Rupp, Johannes Maucher +1
Despite tremendous progress, machine learning and deep learning still suffer from incomprehensible predictions. Incomprehensibility, however, is not an option for the use of (deep)…
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
Mariam Yahya, Alexander Conzelmann, Setareh Maghsudi
We study the problem of decentralized task offloading and load-balancing in a dense network with numerous devices and a set of edge servers. Solving this problem optimally is compl…
Distributed Management of Fluctuating Energy Resources in Dynamic Networked Systems
Xiaotong Cheng, Ioannis Tsetis, Setareh Maghsudi
Modern power systems integrate renewable distributed energy resources (DERs) as an environment-friendly enhancement to meet the ever-increasing demands. However, the inherent unrel…
Budgeted Recommendation with Delayed Feedback
Kweiguu Liu, Setareh Maghsudi
In a conventional contextual multi-armed bandit problem, the feedback (or reward) is immediately observable after an action. Nevertheless, delayed feedback arises in numerous real-…
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
Qiang He, Tianyi Zhou, Meng Fang +1
Representation rank is an important concept for understanding the role of Neural Networks (NNs) in Deep Reinforcement learning (DRL), which measures the expressive capacity of valu…
Meta Learning in Bandits within Shared Affine Subspaces
Steven Bilaj, Sofien Dhouib, Setareh Maghsudi
We study the problem of meta-learning several contextual stochastic bandits tasks by leveraging their concentration around a low-dimensional affine subspace, which we learn via onl…
A Repeated Auction Model for Load-Aware Dynamic Resource Allocation in Multi-Access Edge Computing
Ummy Habiba, Setareh Maghsudi, Ekram Hossain
Multi-access edge computing (MEC) is one of the enabling technologies for high-performance computing at the edge of the 6 G networks, supporting high data rates and ultra-low servi…