collaborators

6 papers

eess.SY2025

Coordinated UAV Beamforming and Control for Directional Jamming and Nulling

Filippos Fotiadis, Brian M. Sadler, Ufuk Topcu

Efficient mobile jamming against eavesdroppers in wireless networks necessitates accurate coordination between mobility and antenna beamforming. We study the coordinated beamformin…

cs.LG2025

Signal attenuation enables scalable decentralized multi-agent reinforcement learning over networks

Wesley A Suttle, Vipul K Sharma, Brian M Sadler

Multi-agent reinforcement learning (MARL) methods typically require that agents enjoy global state observability, preventing development of decentralized algorithms and limiting sc…

eess.SY2025

Optimal Satellite Maneuvers for Spaceborne Jamming Attacks

Filippos Fotiadis, Quentin Rommel, Brian M. Sadler +1

Satellites are becoming exceedingly critical for communication, making them prime targets for cyber-physical attacks. We consider a rogue satellite in low Earth orbit that jams the…

cs.LG2025

Value of Information-based Deceptive Path Planning Under Adversarial Interventions

Wesley A. Suttle, Jesse Milzman, Mustafa O. Karabag +2

Existing methods for deceptive path planning (DPP) address the problem of designing paths that conceal their true goal from a passive, external observer. Such methods do not apply…

cs.LG2024

Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach

Utsav Singh, Souradip Chakraborty, Wesley A. Suttle +6

Hierarchical reinforcement learning (HRL) enables agents to solve complex, long-horizon tasks by decomposing them into manageable sub-tasks. However, HRL methods face two fundament…

cs.AI2024

Robust Stochastic Shortest-Path Planning via Risk-Sensitive Incremental Sampling

Clinton Enwerem, Erfaun Noorani, John S. Baras +1

With the pervasiveness of Stochastic Shortest-Path (SSP) problems in high-risk industries, such as last-mile autonomous delivery and supply chain management, robust planning algori…