Author

Ruihang Wang

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#artificial intelligence Preprint Sep 2026

Beyond Scripted Search: Sample-Efficient Reward Discovery via Agentic Black-box Optimization

Designing dense reward functions for low-level reinforcement learning (RL) control remains difficult. Recent work uses large language models (LLMs) to iteratively generate and refine reward functions using policy-training feedback within scripted search algorithms. However, evaluating each candidate requires a full RL...

Ming-Hao Li, Rui Tan, Rui-Hang Wang · 0 citations

Jul 2026

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields

This work proposes to train an attention graph neural network by minimizing the finite-volume method (FVM) residuals of the governing equations to provide a practical training signal for neural surrogates and reduce the model development cost.

Tian-Yu Li, Zhi-Ying Cao, Qin-Gang Zhang et al. · arXiv.org · 0 citations