23 citations · 46 across the 6 of their papers we have counts for
4 papers · 1 filter
Controlling Commercial Cooling Systems Using Reinforcement Learning
Jerry Luo, Cosmin Paduraru, Octavian Voicu +33
This paper is a technical overview of DeepMind and Google's recent work on reinforcement learning for controlling commercial cooling systems. Building on expertise that began with…
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning
William Wong, Praneet Dutta, Octavian Voicu +3
Reinforcement learning (RL) techniques have been developed to optimize industrial cooling systems, offering substantial energy savings compared to traditional heuristic policies. A…
Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks
Mathew Mithra Noel, Arunkumar L, Advait Trivedi +1
Convolutional neural networks have been successful in solving many socially important and economically significant problems. This ability to learn complex high-dimensional function…
AutoML for Contextual Bandits
Praneet Dutta, Joe Cheuk, Jonathan S Kim +1
Contextual Bandits is one of the widely popular techniques used in applications such as personalization, recommendation systems, mobile health, causal marketing etc . As a dynamic…