Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Nan Jiang

Nan Jiang

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


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


  Access Paper or Ask Questions

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


Jun 02, 2021
Jiawei Huang, Nan Jiang

Figure 1 for On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
* 47 Pages 
  Access Paper or Ask Questions

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


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

Figure 1 for Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration
Figure 2 for Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration
Figure 3 for Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration
Figure 4 for Evaluating the Performance of Over-the-Air Time Synchronization for 5G and TSN Integration
* accepted for IEEE BlackSeaCom 2021 
  Access Paper or Ask Questions

Minimax Model Learning


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

Figure 1 for Minimax Model Learning
Figure 2 for Minimax Model Learning
Figure 3 for Minimax Model Learning
Figure 4 for Minimax Model Learning
* PMLR, Volume 130, 2021 
  Access Paper or Ask Questions

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


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

Figure 1 for CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Figure 2 for CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Figure 3 for CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Figure 4 for CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

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

Figure 1 for Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
Figure 2 for Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
Figure 3 for Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
Figure 4 for Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
* 13 pages, 8 figures, submitted to IEEE T-MM 
  Access Paper or Ask Questions

SM+: Refined Scale Match for Tiny Person Detection


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

Figure 1 for SM+: Refined Scale Match for Tiny Person Detection
Figure 2 for SM+: Refined Scale Match for Tiny Person Detection
Figure 3 for SM+: Refined Scale Match for Tiny Person Detection
Figure 4 for SM+: Refined Scale Match for Tiny Person Detection
* 5 pages, 2 figures 
  Access Paper or Ask Questions

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 
  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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

Figure 1 for Quantifying spatial homogeneity of urban road networks via graph neural networks
Figure 2 for Quantifying spatial homogeneity of urban road networks via graph neural networks
Figure 3 for Quantifying spatial homogeneity of urban road networks via graph neural networks
Figure 4 for Quantifying spatial homogeneity of urban road networks via graph neural networks
* 22 pages, 5 figures 
  Access Paper or Ask Questions

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


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

Figure 1 for Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
Figure 2 for Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
Figure 3 for Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
Figure 4 for Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
* 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 
  Access Paper or Ask Questions

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


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

Figure 1 for A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting

  Access Paper or Ask Questions

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


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

* 36 pages 
  Access Paper or Ask Questions

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

Figure 1 for The 1st Tiny Object Detection Challenge:Methods and Results
Figure 2 for The 1st Tiny Object Detection Challenge:Methods and Results
Figure 3 for The 1st Tiny Object Detection Challenge:Methods and Results
Figure 4 for The 1st Tiny Object Detection Challenge:Methods and Results
* ECCV2020 Workshop on Real-world Computer Vision from Inputs with Limited Quality (RLQ) and Tiny Object Detection Challenge 
  Access Paper or Ask Questions

Batch Value-function Approximation with Only Realizability


Sep 17, 2020
Tengyang Xie, Nan Jiang

Figure 1 for Batch Value-function Approximation with Only Realizability

  Access Paper or Ask Questions

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


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

Figure 1 for A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation
Figure 2 for A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation
Figure 3 for A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation
Figure 4 for A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation

  Access Paper or Ask Questions

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


Apr 09, 2020
Tengyang Xie, Nan Jiang

Figure 1 for Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison

  Access Paper or Ask Questions

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


Mar 11, 2020
Tengyang Xie, Nan Jiang

Figure 1 for $Q^\star$ Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison

  Access Paper or Ask Questions

Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization


Feb 26, 2020
Nan Jiang, Jiawei Huang

Figure 1 for Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization

  Access Paper or Ask Questions

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


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

Figure 1 for RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
Figure 2 for RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
Figure 3 for RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
Figure 4 for RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning

  Access Paper or Ask Questions

Scale Match for Tiny Person Detection


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

Figure 1 for Scale Match for Tiny Person Detection
Figure 2 for Scale Match for Tiny Person Detection
Figure 3 for Scale Match for Tiny Person Detection
Figure 4 for Scale Match for Tiny Person Detection
* accepted by WACV2020 
  Access Paper or Ask Questions

Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning


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

Figure 1 for Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Figure 2 for Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Figure 3 for Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Figure 4 for Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
* Main paper is 8 pages. The appendix contains many pages of tables 
  Access Paper or Ask Questions

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


Nov 02, 2019
Masatoshi Uehara, Nan Jiang

Figure 1 for Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Figure 2 for Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Figure 3 for Minimax Weight and Q-Function Learning for Off-Policy Evaluation

  Access Paper or Ask Questions