IEEE

Single-Loop Deep Actor-Critic for Constrained Reinforcement Learning With Provable Convergence

Abstract: Deep actor-critic (DAC) algorithms, which combine actor-critic with deep neural network (DNN), have been among the most prevalent reinforcement learning algorithms for decision-making ...
IEEE

Silicon Content Prediction in Blast Furnace Ironmaking Process Based on Closed-Loop Multiobjective Evolutionary Ensemble Learning

Abstract: Silicon content prediction of hot metal is crucial for the stable and efficient operation of blast furnace (BF) ironmaking. As an emerging and promising data-driven modeling method, ...