2 citations · 2 across the 3 of their papers we have counts for
3 papers
The Power of Resets in Online Reinforcement Learning
Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
Simulators are a pervasive tool in reinforcement learning, but most existing algorithms cannot efficiently exploit simulator access -- particularly in high-dimensional domains that…
Exponential Stochastic Inequality
Peter D. Grünwald, Muriel F. Pérez-Ortiz, Zakaria Mhammedi
We develop the concept of exponential stochastic inequality (ESI), a novel notation that simultaneously captures high-probability and in-expectation statements. It is especially we…
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
We study the design of sample-efficient algorithms for reinforcement learning in the presence of rich, high-dimensional observations, formalized via the Block MDP problem. Existing…