SMR uses multi-channel map-encoded reinforcement learning to achieve roughly 10% better time utilization than greedy baselines for single-dish radio telescope scheduling.
GRRIS: A Real-time Intrasite Observation Scheduling Scheme for Distributed Survey Telescope Arrays.Astron
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A validation and traceability framework using data checks, logical consistency, constraint verification, and atomic reasoning units to improve reliability of AI telescope scheduling decisions.
citing papers explorer
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SMR: Scheduler with Multi-Channel Map-Encoded Reinforcement Learning for Radio Telescopes
SMR uses multi-channel map-encoded reinforcement learning to achieve roughly 10% better time utilization than greedy baselines for single-dish radio telescope scheduling.
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A Multi-Level Validation and Traceability Framework for AI-Generated Telescope Scheduling Decisions
A validation and traceability framework using data checks, logical consistency, constraint verification, and atomic reasoning units to improve reliability of AI telescope scheduling decisions.