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Peijin Li

2 accepted papers

2025

Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold

ICML 2025poster

Optimization problems on the Stiefel manifold, ranging from principal component analysis to enhancing neural network robustness, are ubiquitous in machine learning. The Landing algorithm avoids computationally expensive retraction operations on manifolds, making it highly competitive for large-scale…

Cited by 0SourcePDFScholar
2022

A Reinforcement Learning Method for Motion Control With Constraints on an HPN Arm

RA-L 2022

Soft robotic arms have shown great potential toward applications to human daily lives, which is mainly due to their infinite passive degrees of freedom and intrinsic safety. There are tasks in lives that require the motion of the robot to meet some certain pose constraints that have not been impleme

Cited by 6SourceScholar