We introduce a machine-learning framework to warm-start fixed-point
opti...
Reinforcement learning (RL) for continuous control typically employs
dis...
First-order methods for quadratic optimization such as OSQP are widely u...
The COVID-19 pandemic has created unprecedented challenges worldwide.
St...
Many control policies used in various applications determine the input o...
We propose a method to solve online mixed-integer optimization (MIO) pro...