3 citations · 4 across the 4 of their papers we have counts for
6 papers
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.…
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…
Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning
Tristan K. Schuler, Chinthan Prasad, Georgiy Kiselev +1
Station-Keeping short-duration high-altitude balloons (HABs) in a region of interest is a challenging path-planning problem due to partially observable, complex, and dynamic wind f…
The Design of a Space-based Observation and Tracking System for Interstellar Objects
Ravi teja Nallapu, Yinan Xu, Abraham Marquez +2
The recent observation of interstellar objects, 1I/Oumuamua and 2I/Borisov cross the solar system opened new opportunities for planetary science and planetary defense. As the first…
Planetary Exploration Using CubeSat Deployed Sailplanes
Adrien Bouskela, Alexandre Kling, Aman Chandra +3
Exploration of terrestrial planets such as Mars are conducted using orbiters, landers and rovers. Cameras and instruments onboard orbiters have enabled global mapping of Mars at lo…