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04/21/2023
Prediction, Learning, Uniform Convergence, and Scale-sensitive Dimensions
We present a new general-purpose algorithm for learning classes of [0,1]...
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01/21/2022
Optimal variance-reduced stochastic approximation in Banach spaces
We study the problem of estimating the fixed point of a contractive oper...
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03/17/2021
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
In this paper, we investigate the sample complexity of policy evaluation...
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02/16/2018
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
We analyze algorithms for approximating a function f(x) = Φ x mapping ^d...
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11/09/2016
RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
Deep reinforcement learning (deep RL) has been successful in learning so...
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01/29/2014
