Showing 41–55 of 55 results
/ Date/ Name
May 7, 2019Sparse multiresolution representations with adaptive kernelsJan 18, 2024Learning Non-myopic Power Allocation in Constrained ScenariosJan 17, 2025A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement LearningOct 11, 2017Decentralized Online Learning with KernelsFeb 12, 2020The empirical duality gap of constrained statistical learningOct 5, 2015Interior Point Method for Dynamic Constrained Optimization in Continuous TimeMar 8, 2021Constrained Learning with Non-Convex LossesApr 7, 2020Resilient Control: Compromising to AdaptApr 10, 2024Fast and Accurate Relative Motion Tracking for Dual Industrial RobotsAug 26, 2016Prediction-Correction Interior-Point Method for Time-Varying Convex OptimizationJan 21, 2022Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement LearningNov 27, 2024RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity FactorsJun 5, 2024Real-Time Small-Signal Security Assessment Using Graph Neural NetworksOct 6, 2024Data-driven Under Frequency Load Shedding Using Reinforcement LearningApr 12, 2026Safety Guarantees in Zero-Shot Reinforcement Learning for Cascade Dynamical Systems