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cs.LG2026
CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning
Rahul Narava, Siddharth Verma, Ojas Jain +2
Ensuring safe exploration in high-dimensional systems with unknown dynamics remains a significant challenge. Existing safe reinforcement learning methods often provide safety guara…
cs.LG2023
Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks
Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello +3
Lithium-ion batteries are widely used in various applications, including electric vehicles and renewable energy storage. The prediction of the remaining useful life (RUL) of batter…
cs.LG2023
Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
Dhruv Mittal, Hymalai Bello, Bo Zhou +3
Early prediction of remaining useful life (RUL) is crucial for effective battery management across various industries, ranging from household appliances to large-scale applications…