SMR: Scheduler with Multichannel Map-encoded Reinforcement Learning for Radio Telescopes
Observation scheduling for large single-dish radio telescopes is a multiobjective optimization problem: schedulers must maximize on-source scientific return under strict mechanical and environmental constraints. Previous dynamic scheduling relies on expert-designed heuristics, while existing reinfor...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IOP Publishing
2026-01-01
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| Serier: | The Astronomical Journal |
| Fag: | |
| Online adgang: | https://doi.org/10.3847/1538-3881/ae7c6a |
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