6 papers · 1 filter
Inverting Self-Triggered Control: Adversarial Reinforcement Learning for Sparse Denial-of-Service Attacks
Adam Haroon, Erick J. Rodríguez-Seda, Tristan Schuler +1
Self-triggered reinforcement learning control (RL-STC) learns the sparsest control schedule that preserves Lyapunov-decreasing stability under a Run-Time Assurance (RTA) override.…
Certified Safety Curation: Distribution-Free Guarantees for Safe Offline Reinforcement Learning
Adam Haroon, Cody Fleming
Safe offline reinforcement learning assumes a cost function on every transition. We ask what remains possible when safety can be judged only by comparing short clips and occasional…
Repairing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry
Adam Haroon, Cody Fleming, Beiwen Li
Single-shot fringe projection profilometry (FPP) networks that regress depth directly can exploit a shape-prior shortcut, recovering depth from object boundaries rather than from f…
Diagnosing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry
Adam Haroon, Anush Lakshman, Cody Fleming +1
Learning-based single-shot fringe projection profilometry (FPP) has been studied almost entirely at close range, and the networks used are evaluated only on aggregate error, leavin…
Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance
Adam Haroon, Erick J. Rodríguez-Seda, Cody Fleming +1
Safe reinforcement learning (RL) typically asks an agent should do. We ask it needs to act, and show that a single policy can jointly learn control…
Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
Adam Haroon, Tristan Schuler
High Altitude Balloons (HABs) can leverage stratospheric wind layers for limited horizontal control, enabling applications in reconnaissance, environmental monitoring, and communic…