3 papers
cs.LG2024
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation
Jun Wang, Likang Wu, Qi Liu +1
Sequential recommendation, where user preference is dynamically inferred from sequential historical behaviors, is a critical task in recommender systems (RSs). To further optimize…
cs.LG2024
Experimental evaluation of offline reinforcement learning for HVAC control in buildings
Jun Wang, Linyan Li, Qi Liu +1
Reinforcement learning (RL) techniques have been increasingly investigated for dynamic HVAC control in buildings. However, most studies focus on exploring solutions in online or of…
cs.LG2024
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction
Xingyu Lou, Yu Yang, Kuiyao Dong +5
As the recommendation service needs to address increasingly diverse distributions, such as multi-population, multi-scenario, multitarget, and multi-interest, more and more recent w…