RLVP post-trains one LLM across eight PDE families with hybrid validity-plus-continuous physics rewards, improving solver accuracy and enabling selective compositional transfer to held-out PDEs.
The numerical solution of the Navier–Stokes equations for an incom- pressible fluid.Bulletin of the American Mathematical Society, 73(6):928–931, 1967
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Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards
RLVP post-trains one LLM across eight PDE families with hybrid validity-plus-continuous physics rewards, improving solver accuracy and enabling selective compositional transfer to held-out PDEs.