
Deep Reinforcement Learning algorithms, such as SAC and TD3, have significant potential to outperform traditional rule-based HVAC controllers by optimizing the balance between occupant comfort and energy consumption in complex building environments.


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comprehensive-evaluation-of-deep-reinforcement-learning-algorithms-for-efficient-hvac-control-in-buildings


Comprehensive Evaluation of Deep Reinforcement Learning Algorithms for Efficient HVAC Control in Buildings
