Adaptive Policy Regularization for Offline to Online Reinforcement Learning in HVAC Control

Adaptive Policy Regularization for Offline to Online Reinforcement Learning in HVAC Control

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Watch an 18-minute conference talk from ACM exploring how adaptive policy regularization can be applied to offline-to-online reinforcement learning specifically for HVAC control systems. Learn about the research conducted by authors Hsin-Yu Liu, Bharathan Balaji, Rajesh Gupta, and Dezhi Hong as they present their findings on improving HVAC control mechanisms through machine learning techniques. Discover the methodology behind transitioning from offline to online reinforcement learning while maintaining system stability and performance in building automation applications.