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.)

How to Choose an Appropriate Deep RL Algorithm for Your Problem

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

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

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

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

Pan Xu - Data Efficient Optimization in Reinforcement Learning

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

Discovering faster matrix multiplication algorithms with reinforcement learning - Alhussein Fawzi

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

Shane Gu: Sample Efficient Deep Reinforcement Learning for Robotics

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

Emma Brunskill (Stanford University): "Efficient Reinforcement Learning When Data is Costly"

Sample-efficiency and reliability in Reinforcement Learning – Romain Laroche

Reinforcement learning: When can we do sample efficient exploration?