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Preference-based Reinforcement Learning with Finite-Time Guarantees


Jun 16, 2020
Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski

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* 22 pages, 2 figures 

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Nearly Linear Row Sampling Algorithm for Quantile Regression


Jun 15, 2020
Yi Li, Ruosong Wang, Lin Yang, Hanrui Zhang

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* Accepted to ICML 2020 

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Provably Efficient Reinforcement Learning with General Value Function Approximation


May 21, 2020
Ruosong Wang, Ruslan Salakhutdinov, Lin F. Yang

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Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?


May 01, 2020
Ruosong Wang, Simon S. Du, Lin F. Yang, Sham M. Kakade

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Provably Efficient Exploration for RL with Unsupervised Learning


Mar 15, 2020
Fei Feng, Ruosong Wang, Wotao Yin, Simon S. Du, Lin F. Yang

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Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity


Feb 17, 2020
Simon S. Du, Jason D. Lee, Gaurav Mahajan, Ruosong Wang

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Optimism in Reinforcement Learning with Generalized Linear Function Approximation


Dec 09, 2019
Yining Wang, Ruosong Wang, Simon S. Du, Akshay Krishnamurthy

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Enhanced Convolutional Neural Tangent Kernels


Nov 03, 2019
Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora

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Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?


Nov 03, 2019
Simon S. Du, Sham M. Kakade, Ruosong Wang, Lin F. Yang

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Continuous Control with Contexts, Provably


Oct 30, 2019
Simon S. Du, Ruosong Wang, Mengdi Wang, Lin F. Yang

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