Deep RL for Fast Long-Horizon Operations Scheduling on NASA's Carruthers Geocorona Observatory Mission

arXiv:2606.22159 · astro-ph.IM, astro-ph.EP, cs.LG · Submitted 2026-06-20 · Read on arXiv

Alex Zhang, Jackson Craig, Lara Waldrop

astro-ph.IM, astro-ph.EP, cs.LG

Submitted: 2026-06-20

Comments: Preprint, peer-reviewed, will be part of ICAPS 2026 conference proceedings

Journal ref: Proceedings of the International Conference on Automated Planning and Scheduling, 36(1), 538-546, (2026)

DOI: 10.1609/icaps.v36i1.42871

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Calibration — 17× in this paper · explained in 7 episodes
Reinforcement Learning — 11× in this paper · explained in 4 episodes
Abstraction — 9× in this paper · explained in 1 episode
Deep Reinforcement Learning — 7× in this paper · explained in 2 episodes
Action Space — 4× in this paper · explained in 1 episode
Action Masking — 3× in this paper · explained in 1 episode
Robustness — 3× in this paper · explained in 5 episodes
Accuracy — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Combinatorial Optimization — 2× in this paper · explained in 2 episodes
Signal-to-Noise Ratio — 2× in this paper
Signal-to-noise ratio (SNR) — 2× in this paper · explained in 2 episodes
Verification — 2× in this paper · explained in 2 episodes
Ablation — 1× in this paper · explained in 1 episode
Ablation Studies — 1× in this paper · explained in 1 episode
Deep Reinforcement Learning (DRL) — 1× in this paper · explained in 2 episodes
Fisher Information — 1× in this paper · explained in 3 episodes
Information Gain — 1× in this paper · explained in 2 episodes
Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
Regularization — 1× in this paper · explained in 3 episodes
Reward Shaping — 1× in this paper · explained in 2 episodes
Targets of Opportunity — 1× in this paper

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