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Mengdi Wang

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Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations

Nov 09, 2020
Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan

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High-Dimensional Sparse Linear Bandits

Nov 08, 2020
Botao Hao, Tor Lattimore, Mengdi Wang

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Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient

Nov 08, 2020
Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang

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Online Sparse Reinforcement Learning

Nov 08, 2020
Botao Hao, Tor Lattimore, Csaba Szepesvári, Mengdi Wang

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Generalized Leverage Score Sampling for Neural Networks

Sep 21, 2020
Jason D. Lee, Ruoqi Shen, Zhao Song, Mengdi Wang, Zheng Yu

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Variational Policy Gradient Method for Reinforcement Learning with General Utilities

Jul 04, 2020
Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvari, Mengdi Wang

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Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python

Jun 27, 2020
Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao

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Model-Based Reinforcement Learning with Value-Targeted Regression

Jun 01, 2020
Alex Ayoub, Zeyu Jia, Csaba Szepesvari, Mengdi Wang, Lin F. Yang

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Cautious Reinforcement Learning via Distributional Risk in the Dual Domain

Feb 27, 2020
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel

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Sketching Transformed Matrices with Applications to Natural Language Processing

Feb 23, 2020
Yingyu Liang, Zhao Song, Mengdi Wang, Lin F. Yang, Xin Yang

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