Learning When to Refine: Long-Horizon Reinforcement Learning for Budgeted Neural-Operator PDE Solvers
arXiv 2610.06883v1•cbf1904bec08b19d284f82bbe1d0f44eb65cc476fe259bb69f8f3e1d0aeecee2
Paper metadata
- arXiv ID
- 2610.06883
- Version
- v1
- Category
- cs.AI, cs.LG
- Authors
- Ange Tong
- Publication date
- 2026-10-07T04:00:00Z
- Source identifier
- 2610.06883v1
- Public record ID
- record:sha256:cbf1904bec08b19d284f82bbe1d0f44eb65cc476fe259bb69f8f3e1d0aeecee2
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- cbf1904bec08b19d284f82bbe1d0f44eb65cc476fe259bb69f8f3e1d0aeecee2
- Record type
- Source metadata
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