Follow the Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation
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DOI: 10.1109/lsp.2025.3542965
Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in terms of a few columns of a… read more here.
Keywords: follow approximate; sparse linear; sparse; approximate sparse ... See more keywords
Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3043584
Abstract: In policy evaluation of reinforcement learning tasks, the temporal difference (TD) learning with value function approximation has been widely studied. However, feature representation has a decisive influence on both accuracy of value function approximation and… read more here.
Keywords: temporal difference; tex math; online sparse; inline formula ... See more keywords