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cs.LG2020★ 2 cited
Temporal Difference Learning as Gradient Splitting
Rui Liu, Alex Olshevsky
Temporal difference learning with linear function approximation is a popular method to obtain a low-dimensional approximation of the value function of a policy in a Markov Decision…
cs.LG2020
Asymptotic Convergence Rate of Alternating Minimization for Rank One Matrix Completion
Rui Liu, Alex Olshevsky
We study alternating minimization for matrix completion in the simplest possible setting: completing a rank-one matrix from a revealed subset of the entries. We bound the asymptoti…