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Found 7 papers, 2 papers with code
A Principle for Global Optimization with Gradients
This work demonstrates the utility of gradients for the global optimization of certain differentiable functions with many suboptimal local minima.
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response
CyPhERS provides real-time information pertaining the occurrence, location, physical impact, and root cause of potentially critical events in CPSs, without the need for historical event observations.
Threat Scenarios and Monitoring Requirements for Cyber-Physical Systems of Flexibility Markets
While cross-domain integration sets the foundation for efficient deployment of flexibility, it introduces new physical and cyber vulnerabilities to participants.
Unsupervised detection and open-set classification of fast-ramped flexibility activation events
Flexibility activations can be broadly categorized to those originating from electricity markets and those initiated by the DSO to avoid constraint violations.
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources
The ongoing electrification introduces new challenges to distribution system operators (DSOs).
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
In stochastic optimization, particularly in evolutionary computation and reinforcement learning, the optimization of a function $f: \Omega \to \mathbb{R}$ is often addressed through optimizing a so-called relaxation $\theta \in \Theta \mapsto \mathbb{E}_\theta(f)$ of $f$, where $\Theta$ resembles the parameters of a family of probability measures on $\Omega$.
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
Our results give insights into which algorithmic mechanisms of modern ES are of value for the class of problems at hand, and they reveal principled limitations of the approach.
