Sample Efficient Reinforcement Learning Via Low Rank Matrix Estimation

May 24, 2026
Media Summary: Thursday, July 9 12:00 PM - 12:45 PM Many inverse problems encountered in sensing and imaging can be formulated as ... Alekh Agarwal, Microsoft Research New York Interactive Rachel Ward, University of Texas at Austin Optimization, Statistics and ...

Sample Efficient Reinforcement Learning Via Low Rank Matrix Estimation - Detailed Analysis & Overview

Thursday, July 9 12:00 PM - 12:45 PM Many inverse problems encountered in sensing and imaging can be formulated as ... Alekh Agarwal, Microsoft Research New York Interactive Rachel Ward, University of Texas at Austin Optimization, Statistics and ... Sample Efficient Reinforcement Learning via Difference Models Секция ML keynotes, general – Main stage, 11 мая 2019 Презентации с Data Fest 6 ... Delivered on November 19, 2020 Speaker ------------ Elad Romanov HUJI Title ------

In the beginning of this work great assumption that we want to use Yuejie Chi Professor, Electrical and Computer Engineering Carnegie Mellon University Abstract: Many problems encountered in ... Sabrina Hoppe, Markus Giftthaler, Robert Krug & Marc Toussaint.

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Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Sample Efficient Reinforcement Learning
IS20: IP1: Nonconvex Low-Rank Matrix Estimation: Geometry, Robustness, and Acceleration
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Sample-Efficient Reinforcement Learning with Rich Observations
Vladimir Koltchinskii on Low Rank Matrix Estimation
Sample-Optimal Low-Rank Approximation of Distance Matrices
Low-rank Matrix Completion: Adaptive Sampling Can Help When, How?
Sample Efficient Reinforcement Learning via Difference Models
Sample-efficiency and reliability in Reinforcement Learning – Romain Laroche
Elad Romanov - Low rank matrix estimation in correlated noise
Shane Gu: Sample Efficient Deep Reinforcement Learning for Robotics

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