Chao Wang

Policy Newton Algorithm in Reproducing Kernel Hilbert Space

Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization

SKARL: Provably Scalable Kernel Mean Field Reinforcement Learning for Variable-Size Multi-Agent Systems

From Faithfulness to Correctness: Generative Reward Models that Think Critically

A Scalable Transformer-based Framework for Fault Detection in Mission-Critical Systems