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Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design


Jul 06, 2022
Andrew Wagenmaker, Kevin Jamieson

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Instance-optimal PAC Algorithms for Contextual Bandits


Jul 05, 2022
Zhaoqi Li, Lillian Ratliff, Houssam Nassif, Kevin Jamieson, Lalit Jain

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Active Learning with Safety Constraints


Jun 22, 2022
Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson

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Active Multi-Task Representation Learning


Feb 02, 2022
Yifang Chen, Simon S. Du, Kevin Jamieson

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Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes


Jan 26, 2022
Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson

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First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach


Dec 07, 2021
Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson

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Best Arm Identification with Safety Constraints


Nov 23, 2021
Zhenlin Wang, Andrew Wagenmaker, Kevin Jamieson

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Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers


Nov 09, 2021
Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Rob Nowak

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Nearly Optimal Algorithms for Level Set Estimation


Nov 02, 2021
Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert Nowak, Lalit Jain

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* 9 pages + appendices. 6 Figures 

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Selective Sampling for Online Best-arm Identification


Nov 02, 2021
Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson

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* 42 pages, 2 figures, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) 

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