1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2025
The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
Michael Muehlebach, Zhiyu He, Michael I. Jordan
We study the sample complexity of online reinforcement learning in the general \hzyrev{non-episodic} setting of nonlinear dynamical systems with continuous state and action spaces.…
cs.LG2023★ 1 cited
A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning
Neha S. Wadia, Yatin Dandi, Michael I. Jordan
The rapid progress in machine learning in recent years has been based on a highly productive connection to gradient-based optimization. Further progress hinges in part on a shift i…