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cs.LG2026
S3: Stable Subgoal Selection by Constraining Uncertainty of Coarse Dynamics in Hierarchical Reinforcement Learning
Kshitij Kumar Srivastava, Kshitij Jerath
Hierarchical Reinforcement Learning (HRL) intends to separate strategic planning from primitive execution. It has been widely successful in solving long-horizon and complex tasks,…
cs.LG2024
Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasets
Zhaohui Yang, Kshitij Jerath
Recent endeavors aimed at forecasting future traffic flow states through deep learning encounter various challenges and yield diverse outcomes. A notable obstacle arises from the s…
cs.LG2024
Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
Niket Kathiriya, Hossein Haeri, Cindy Chen +1
Many modern systems, such as financial, transportation, and telecommunications systems, are time-sensitive in the sense that they demand low-latency predictions for real-time decis…