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Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning


Jun 09, 2021
Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai


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On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction


Jun 02, 2021
Jiawei Huang, Nan Jiang

* 47 Pages 

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Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration


Apr 28, 2021
Haochuan Shi, Adnan Aijaz, Nan Jiang

* accepted for IEEE BlackSeaCom 2021 

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Minimax Model Learning


Mar 02, 2021
Cameron Voloshin, Nan Jiang, Yisong Yue

* PMLR, Volume 130, 2021 

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CURE: Code-Aware Neural Machine Translation for Automatic Program Repair


Feb 26, 2021
Nan Jiang, Thibaud Lutellier, Lin Tan


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Model-free Representation Learning and Exploration in Low-rank MDPs


Feb 14, 2021
Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal


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Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking


Feb 08, 2021
Nan Jiang, Kuiran Wang, Xiaoke Peng, Xuehui Yu, Qiang Wang, Junliang Xing, Guorong Li, Jian Zhao, Guodong Guo, Zhenjun Han

* 13 pages, 8 figures, submitted to IEEE T-MM 

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SM+: Refined Scale Match for Tiny Person Detection


Feb 06, 2021
Nan Jiang, Xuehui Yu, Xiaoke Peng, Yuqi Gong, Zhenjun Han

* 5 pages, 2 figures 

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Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency


Feb 05, 2021
Masatoshi Uehara, Masaaki Imaizumi, Nan Jiang, Nathan Kallus, Wen Sun, Tengyang Xie

* Under Review 

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On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function


Feb 04, 2021
Gellert Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári


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Quantifying spatial homogeneity of urban road networks via graph neural networks


Jan 01, 2021
Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma

* 22 pages, 5 figures 

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Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach


Nov 30, 2020
Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue

* Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1286-1298. November 16 - 20, 2020. 2020 Association for Computational Linguistics 
* Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1286-1298. November 16 - 20, 2020. 2020 Association for Computational Linguistics 

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A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting


Nov 04, 2020
Philip Amortila, Nan Jiang, Tengyang Xie


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Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration


Oct 23, 2020
Priyank Agrawal, Jinglin Chen, Nan Jiang

* 36 pages 

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The 1st Tiny Object Detection Challenge:Methods and Results


Oct 06, 2020
Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

* ECCV2020 Workshop on Real-world Computer Vision from Inputs with Limited Quality (RLQ) and Tiny Object Detection Challenge 

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Batch Value-function Approximation with Only Realizability


Sep 17, 2020
Tengyang Xie, Nan Jiang


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A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation


May 24, 2020
Xiuyu Wu, Nan Jiang, Yunfang Wu


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Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison


Apr 09, 2020
Tengyang Xie, Nan Jiang


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$Q^\star$ Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison


Mar 11, 2020
Tengyang Xie, Nan Jiang


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Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization


Feb 26, 2020
Nan Jiang, Jiawei Huang


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RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning


Feb 08, 2020
Nan Jiang, Sheng Jin, Zhiyao Duan, Changshui Zhang


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Scale Match for Tiny Person Detection


Dec 23, 2019
Xuehui Yu, Yuqi Gong, Nan Jiang, Qixiang Ye, Zhenjun Han

* accepted by WACV2020 

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Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning


Nov 15, 2019
Cameron Voloshin, Hoang M. Le, Nan Jiang, Yisong Yue

* Main paper is 8 pages. The appendix contains many pages of tables 

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Minimax Weight and Q-Function Learning for Off-Policy Evaluation


Nov 02, 2019
Masatoshi Uehara, Nan Jiang


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