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Affiliation:, South China University of Technology
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Optimal catalyst placement for maximizing reaction output is shown to be non-existent in standard reaction-diffusion models, necessitating a regularized approach.
A single-rollout RLVR method achieves faster training and more stable gradients by using a trajectory's own future as a hindsight context, eliminating the need for group sampling and reference solutions.