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Reliable Off-policy Evaluation for Reinforcement Learning

Nov 08, 2020
Jie Wang, Rui Gao, Hongyuan Zha

* 36 pages, 4 figures 

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Inductive Relational Matrix Completion

Jul 09, 2020
Qitian Wu, Hengrui Zhang, Hongyuan Zha


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GraphOpt: Learning Optimization Models of Graph Formation

Jul 07, 2020
Rakshit Trivedi, Jiachen Yang, Hongyuan Zha


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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification

Jun 29, 2020
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha


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Hessian-Free High-Resolution Nesterov Acceleration for Sampling

Jun 22, 2020
Ruilin Li, Hongyuan Zha, Molei Tao


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Network Diffusions via Neural Mean-Field Dynamics

Jun 16, 2020
Shushan He, Hongyuan Zha, Xiaojing Ye

* Submitted to NIPS2020, 20 pages, 5 figures 

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Hessian-Free High-Resolution Nesterov Accelerationfor Sampling

Jun 16, 2020
Ruilin Li, Hongyuan Zha, Molei Tao


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Learning to Incentivize Other Learning Agents

Jun 10, 2020
Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

* 19 pages, 11 figures 

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F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Apr 17, 2020
Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha

* arXiv admin note: text overlap with arXiv:1810.02912, arXiv:1803.11485 by other authors 

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Learning Cost Functions for Optimal Transport

Feb 22, 2020
Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye


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Transformer Hawkes Process

Feb 21, 2020
Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha


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Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients

Feb 20, 2020
Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao


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Differentiable Top-k Operator with Optimal Transport

Feb 18, 2020
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister


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Learning Stochastic Behaviour of Aggregate Data

Feb 14, 2020
Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou


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Hyper-Meta Reinforcement Learning with Sparse Reward

Feb 11, 2020
Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha


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Learning Structured Communication for Multi-agent Reinforcement Learning

Feb 11, 2020
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha


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Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation

Feb 10, 2020
Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao


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Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning

Feb 01, 2020
Qianming Xue, Wei Zhang, Hongyuan Zha

* Accepted to appear in AAAI'20 

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Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

Dec 07, 2019
Jiachen Yang, Igor Borovikov, Hongyuan Zha


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Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning

Nov 20, 2019
Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha


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Single Episode Policy Transfer in Reinforcement Learning

Oct 17, 2019
Jiachen Yang, Brenden Petersen, Hongyuan Zha, Daniel Faissol


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Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies

Oct 10, 2019
Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha

* 16 pages 

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Stein Bridging: Enabling Mutual Reinforcement between Explicit and Implicit Generative Models

Oct 05, 2019
Qitian Wu, Rui Gao, Hongyuan Zha


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Learning Robust Representations with Graph Denoising Policy Network

Oct 04, 2019
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen

* 10 pages 

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Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization

Sep 23, 2019
Zhi Zhang, Jiachen Yang, Hongyuan Zha


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Meta Learning with Relational Information for Short Sequences

Sep 04, 2019
Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha


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Modeling Event Propagation via Graph Biased Temporal Point Process

Aug 05, 2019
Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha

* 9 pages, 6 figures, 2 tables. Submitted to TNNLS 

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Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering

Jun 05, 2019
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

* 8 pages, 3 figures, 4 tables 

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