1 citations · 2 across the 4 of their papers we have counts for
5 papers
Measurement-Incompatibility Constraints for Maximal Randomness
Tianqi Zheng, Yi Li, Yu Xiang +1
Certifying maximal quantum randomness without assumptions about system dimension remains a pivotal challenge for secure communication and foundational studies. Here, we introduce a…
Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization
Tianqi Zheng, Nicolas Loizou, Pengcheng You +1
Gradient Descent Ascent (GDA) methods for min-max optimization problems typically produce oscillatory behavior that can lead to instability, e.g., in bilinear settings. To address…
Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework
Tianqi Zheng, John W. Simpson-Porco, Enrique Mallada
Motion planning and control are two core components of the robotic autonomy stack. The standard way to combine them uses an offline/open-loop stage, planning, which designs a feasi…
Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics
Tianqi Zheng, Pengcheng You, Enrique Mallada
In constrained reinforcement learning (C-RL), an agent seeks to learn from the environment a policy that maximizes the expected cumulative reward while satisfying minimum requireme…
Inner Approximations of the Positive-Semidefinite Cone via Grassmannian Packings
Tianqi Zheng, James Guthrie, Enrique Mallada
We investigate the problem of finding inner ap-proximations of positive semidefinite (PSD) cones. We developa novel decomposition framework of the PSD cone by meansof conical combi…