4 papers
Markov Decision Processes for Satellite Maneuver Planning and Collision Avoidance
William Kuhl, Jun Wang, Duncan Eddy +1
This paper presents a decentralized, online planning approach for scalable maneuver planning for large constellations. While decentralized, rule-based strategies have facilitated e…
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering
Francois Chaubard, Duncan Eddy, Mykel J. Kochenderfer
We introduce Gradient Agreement Filtering (GAF) to improve on gradient averaging in distributed deep learning optimization. Traditional distributed data-parallel stochastic gradien…
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations
Duncan Eddy, Mykel J. Kochenderfer
Operating Earth observing satellites requires efficient planning methods that coordinate activities of multiple spacecraft. The satellite task planning problem entails selecting ac…
Markov Decision Processes For Multi-Objective Satellite Task Planning
Duncan Eddy, Mykel Kochenderfer
This paper presents a semi-Markov decision process (SMDP) formulation of the satellite task scheduling problem. This formulation can consider multiple operational objectives simult…