3 papers
cs.LG2026
Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance
Adam Haroon, Erick J. RodrÃguez-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…
cs.LG2025
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…
cs.LG2025
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…