Ning Gu

Collaborative Filtering with Noisy Ratings

2019 · Society for Industrial and Applied Mathematics eBooks

User ratings on items are noisy in real-world recommender systems, which raises challenges to matrix approximation (MA)-based collaborative filtering (CF) algorithms — the learned models will be easily biased to the noisy training data and …

SibylOpt: Managing Green Data Centers Using Off-Online Deep Reinforcement Learning

2025

We introduce SibylOpt, a system that applies deep reinforcement learning (DRL) to optimize the operation of a green data center (DC). SibylOpt uses an offline reinforcement learning algorithm, Advantage-Weighted Actor-Critic (AWAC), that requires historical data …