4 papers
Distributed Learning in Markovian Restless Bandits over Interference Graphs for Stable Spectrum Sharing
Liad Lea Didi, Kobi Cohen
We study distributed learning for spectrum access and sharing among multiple cognitive communication entities, such as cells, subnetworks, or cognitive radio users (collectively re…
Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems
Oren Fivel, Matan Rudman, Kobi Cohen
Deep reinforcement learning (DRL) has become a powerful tool for complex decision-making in machine learning and AI. However, traditional methods often assume perfect action execut…
Searching for a Hidden Markov Anomaly over Multiple Processes
Levli Citron, Kobi Cohen, Qing Zhao
We address the problem of detecting an anomalous process among a large number of processes. At each time t, normal processes are in state zero (normal state), while the abnormal pr…
Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model
Liad Lea Didi, Tomer Gafni, Kobi Cohen
We address the problem of searching for a change point in an anomalous process among a finite set of M processes. Specifically, we address a composite hypothesis model in which eac…