4 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Compressing Value Predictions for Learning-Augmented Metrical Task Systems
Sizhe Li, Yecheng Li, Kun He
Learning-augmented algorithms for metrical task systems (MTS) can exploit predictions of canonical dual values, but existing formulations typically require a prediction for every s…
cs.CV2023★ 2 cited
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
Sizhe Li, Zhiao Huang, Tao Chen +4
In this work, we aim to learn dexterous manipulation of deformable objects using multi-fingered hands. Reinforcement learning approaches for dexterous rigid object manipulation wou…
cs.RO2022★ 4 cited
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Sizhe Li, Zhiao Huang, Tao Du +3
Differentiable physics has recently been shown as a powerful tool for solving soft-body manipulation tasks. However, the differentiable physics solver often gets stuck when the ini…