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Found 5 papers, 2 papers with code
Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning
In this paper, we propose an evaluation approach to analyze the performance of RL agents in a look-ahead economic dispatch scheme.
Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems
Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation.
Construct Informative Triplet with Two-stage Hard-sample Generation
In this paper, we propose a robust sample generation scheme to construct informative triplets.
PML: Progressive Margin Loss for Long-tailed Age Classification
In this paper, we propose a progressive margin loss (PML) approach for unconstrained facial age classification.
A New Deep Neural Architecture Search Pipeline for Face Recognition
In this paper, we first propose a new deep neural architecture search pipeline combined with NAS technology and reinforcement learning strategy into face recognition.
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