4 papers
Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach
Erfan Mirzaei, Seyed Pooya Shariatpanahi, Alireza Tavakoli +2
Personalized AI-based services involve a population of individual reinforcement learning agents. However, most reinforcement learning algorithms focus on harnessing individual lear…
TopRank-Based Delivery Rate Optimization for Coded Caching under Non-Uniform Demands
Mohammadsaber Bahadori, Seyed Pooya Shariatpanahi, Behnam Bahrak
We study the problem of coded caching with nonuniform file popularity under the setting where the popularity distribution is initially unknown. By reframing the problem, we propose…
Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning
Salar Nouri, Mojdeh Karbalaee Motalleb, Vahid Shah-Mansouri +1
This paper introduces a novel generative AI (GAI)-driven, unified semi-supervised learning architecture for optimizing resource allocation and network slicing in O-RAN. Termed Gene…
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Amirhossein Mesbah, Reshad Hosseini, Seyed Pooya Shariatpanahi +1
Reinforcement learning (RL) plays a major role in solving complex sequential decision-making tasks. Hierarchical and goal-conditioned RL are promising methods for dealing with two…