Showing 1–15 of 15 results
/ Date/ Name
Feb 21, 2013Nonparametric Basis Pursuit via Sparse Kernel-based LearningOct 16, 2020Policy Gradient for Continuing Tasks in Non-stationary Markov Decision ProcessesAug 27, 2020Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learningOct 27, 2022Multi-task Bias-Variance Trade-off Through Functional ConstraintsJun 14, 2023A Networked Multi-Agent System for Mobile Wireless Infrastructure on DemandJan 17, 2025A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement LearningJun 3, 2024Multi-agent assignment via state augmented reinforcement learningJan 23, 2024Learning safety critics via a non-contractive binary bellman operatorJan 31, 2013Rank regularization and Bayesian inference for tensor completion and extrapolationOct 5, 2020Quadratic approximate dynamic programming for scheduling water resources: a case studyFeb 27, 2025Cooperative Multi-Agent Assignment over Stochastic Graphs via Constrained Reinforcement LearningNov 17, 2025Cross-Learning from Scarce Data via Multi-Task Constrained OptimizationJul 30, 2018Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert SpacesOct 24, 2020Multi-task Supervised Learning via Cross-learningOct 1, 2010Group-Lasso on Splines for Spectrum Cartography