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A Doubly Robust Approach to Sparse Reinforcement Learning

A Doubly Robust Approach to Sparse Reinforcement Learning

International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
23 October 2023
Wonyoung Hedge Kim
Garud Iyengar
A. Zeevi
ArXiv (abs)PDFHTML

Papers citing "A Doubly Robust Approach to Sparse Reinforcement Learning"

3 / 3 papers shown
Linear Bandits with Partially Observable Features
Linear Bandits with Partially Observable Features
Wonyoung Hedge Kim
Sungwoo Park
G. Iyengar
A. Zeevi
Min Hwan Oh
631
3
0
10 Feb 2025
Exploring and Learning in Sparse Linear MDPs without Computationally
  Intractable Oracles
Exploring and Learning in Sparse Linear MDPs without Computationally Intractable OraclesSymposium on the Theory of Computing (STOC), 2023
Noah Golowich
Ankur Moitra
Dhruv Rohatgi
179
6
0
18 Sep 2023
Learning the Pareto Front Using Bootstrapped Observation Samples
Learning the Pareto Front Using Bootstrapped Observation SamplesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Wonyoung Hedge Kim
G. Iyengar
A. Zeevi
282
7
0
31 May 2023
1