most citedA Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control

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cs.LG2023

An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal Prediction

Matin Moezzi

Consistency regularization-based methods are prevalent in semi-supervised learning (SSL) algorithms due to their exceptional performance. However, they mainly depend on domain-spec…

cs.LG2023★ 1 cited

A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control

Marshall Wang, John Willes, Thomas Jiralerspong +1

Reinforcement learning (RL) is a promising approach for optimizing HVAC control. RL offers a framework for improving system performance, reducing energy consumption, and enhancing…