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Online Electricity Purchase for Data Center with Dynamic Virtual Battery from Flexibility Aggregation
As a critical component of modern infrastructure, data centers account for a huge amount of power consumption and greenhouse gas emission.
Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization
Gradient Descent Ascent (GDA) methods for min-max optimization problems typically produce oscillatory behavior that can lead to instability, e. g., in bilinear settings.
Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics
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 requirements in secondary cumulative reward constraints.
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