Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

Sample Efficient Reinforcement Learning via Difference Models

Accelerating Ill-conditioned Low-rank Estimation via Scaled Gradient Descent

Unsupervised Deep Learning with Low-Rank and Sparse Priors (1 min. ver.)

Statistical Machine Learning Part 51 - Low rank matrix completion: algorithms

How to Choose an Appropriate Deep RL Algorithm for Your Problem

Elad Romanov - Low rank matrix estimation in correlated noise

IS20: IP1: Nonconvex Low-Rank Matrix Estimation: Geometry, Robustness, and Acceleration

Sample-Efficient Reinforcement Learning with Rich Observations

Towards a Theory for Sample-efficient Reinforcement Learning with Rich Observations

Jörg Franke | “Sample-Efficient Automated Deep Reinforcement Learning”

Discovering faster matrix multiplication algorithms with reinforcement learning - Alhussein Fawzi

Day 1 Talk 5: Preconditioning Helps: Faster Convergence in Reinforcement Learning (Yuejie Chi, CMU)

Pan Xu - Data Efficient Optimization in Reinforcement Learning

Reinforcement learning: When can we do sample efficient exploration?

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Perla El Kettani - Phase transitions in low-rank matrix estimation

Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning - Sham Kakade

Ming Gu -- Advanced Techniques for Low-rank Matrix Approximations

AI4OPT Seminar Series: When Is Partially Observable Reinforcement Learning Not Scary?