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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

* 76 pages. The short version of this work appears in NeurIPS 2020 

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High-Dimensional Sparse Linear Bandits

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

* Accepted by NeurIPS 2020 

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Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient

Nov 08, 2020
Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesv√°ri, Mengdi Wang


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Online Sparse Reinforcement Learning

Nov 08, 2020
Botao Hao, Tor Lattimore, Csaba Szepesv√°ri, 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

* Journal of Machine Learning Research 20 (2019): 44-1 

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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

* AISTATS 2020 

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Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation

Feb 21, 2020
Yaqi Duan, Mengdi Wang


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Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator

Nov 08, 2019
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan


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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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Characterizing Deep Learning Training Workloads on Alibaba-PAI

Oct 14, 2019
Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia

* Accepted by IISWC2019 

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Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity

Aug 29, 2019
Aaron Sidford, Mengdi Wang, Lin F. Yang, Yinyu Ye


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Voting-Based Multi-Agent Reinforcement Learning

Jul 02, 2019
Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui


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Learning Markov models via low-rank optimization

Jun 28, 2019
Ziwei Zhu, Xudong Li, Mengdi Wang, Anru Zhang

* 40 pages, 4 figures. arXiv admin note: text overlap with arXiv:1804.00795 

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Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound

Jun 13, 2019
Lin F. Yang, Mengdi Wang


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Feature-Based Q-Learning for Two-Player Stochastic Games

Jun 02, 2019
Zeyu Jia, Lin F. Yang, Mengdi Wang

* 23 pages 

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Learning low-dimensional state embeddings and metastable clusters from time series data

Jun 01, 2019
Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang


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RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization

May 24, 2019
Hao Lu, Mengdi Wang


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Reinforcement Leaning in Feature Space: Matrix Bandit, Kernels, and Regret Bound

May 24, 2019
Lin F. Yang, Mengdi Wang


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Learning to Control in Metric Space with Optimal Regret

May 05, 2019
Lin F. Yang, Chengzhuo Ni, Mengdi Wang


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Sample-Optimal Parametric Q-Learning with Linear Transition Models

Feb 13, 2019
Lin F. Yang, Mengdi Wang


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Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks

Nov 21, 2018
Mengdi Wang, Qing Zhang, Jun Yang, Xiaoyuan Cui, Wei Lin

* 7 pages, 7 figures 

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State Aggregation Learning from Markov Transition Data

Nov 06, 2018
Yaqi Duan, Zheng Tracy Ke, Mengdi Wang


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A bird's-eye view on coherence, and a worm's-eye view on cohesion

Nov 01, 2018
Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Mengdi Wang, Jianfeng Gao


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Adaptive Low-Nonnegative-Rank Approximation for State Aggregation of Markov Chains

Oct 14, 2018
Yaqi Duan, Mengdi Wang, Zaiwen Wen, Yaxiang Yuan


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Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization

Oct 01, 2018
Minshuo Chen, Lin Yang, Mengdi Wang, Tuo Zhao


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Diffusion Approximations for Online Principal Component Estimation and Global Convergence

Aug 29, 2018
Chris Junchi Li, Mengdi Wang, Han Liu, Tong Zhang

* Appeared in NIPS 2017 

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