Adam Wierman

Anytime-Competitive Reinforcement Learning with Policy Prior

2023 · arXiv (Cornell University)

This paper studies the problem of Anytime-Competitive Markov Decision Process (A-CMDP). Existing works on Constrained Markov Decision Processes (CMDPs) aim to optimize the expected reward while constraining the expected cost over random dynamics, but the …

Enhancing Data Center Low-Voltage Ride-Through

2025 · arXiv (Cornell University)

Data center loads have expanded significantly in recent years. Compared to traditional loads, data centers are highly sensitive to voltage deviations and thus their protection mechanisms trip more proactively during voltage fluctuations. During a grid …