Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging
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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