Robust learning for smoothed online convex optimization with feedback delay
We study a general form of Smoothed Online Convex Optimization, aka SOCO, including
multi-step switching costs and feedback delay. We propose a novel machine learning (ML) …
multi-step switching costs and feedback delay. We propose a novel machine learning (ML) …
[图书][B] Learning-Augmented Control and Decision-Making: Theory and Applications in Smart Grids
T Li - 2023 - search.proquest.com
Achieving carbon neutrality by 2050 does not only lead to the increasing penetration of
renewable energy, but also an explosive growth of smart meter data. Recently, augmenting …
renewable energy, but also an explosive growth of smart meter data. Recently, augmenting …
Physics-Model-Regulated Deep Reinforcement Learning Towards Safety & Stability Guarantees
Deep reinforcement learning (DRL) has demonstrated impressive success in solving
complex control tasks by synthesizing control policies from data. However, the safety and …
complex control tasks by synthesizing control policies from data. However, the safety and …