Wenbo Ding

Policy Newton Algorithm in Reproducing Kernel Hilbert Space

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

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling

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

Universal Visuo-Tactile Video Understanding for Embodied Interaction

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning

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