Learning When to Refine: Long-Horizon Reinforcement Learning for Budgeted Neural-Operator PDE Solvers

arXiv:2610.06883 · cs.LG, cs.AI · Submitted 2026-09-19 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-19

Updated: 2026-09-19

Comments: 21 pages, 4 figures, 2 tables

Code: https://github.com/Alfred-Duncan/RVPI-PDE

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

Terminology

• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Physics-Informed Neural Operator for Learning Partial Differential Equations
• Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
• AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

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