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Pairwise Weights for Temporal Credit Assignment

Feb 09, 2021
Zeyu Zheng, Risto Vuorio, Richard Lewis, Satinder Singh

* The first two authors contributed equally 

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Learning State Representations from Random Deep Action-conditional Predictions

Feb 09, 2021
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard Lewis, Satinder Singh


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Doubly Stochastic Generative Arrivals Modeling

Jan 26, 2021
Yufeng Zheng, Zeyu Zheng

* updated version with more explanatory figures 

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On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification

Jun 26, 2020
Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan

* Correct some typos; 46 Pages, 41 figures 

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Automated Optical Multi-layer Design via Deep Reinforcement Learning

Jun 21, 2020
Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo

* 15 pages, 10 figures, poster presentation at RL4RealLife 2020 

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What Can Learned Intrinsic Rewards Capture?

Dec 11, 2019
Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh


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On Learning Intrinsic Rewards for Policy Gradient Methods

Jun 22, 2018
Zeyu Zheng, Junhyuk Oh, Satinder Singh


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Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters

Jun 11, 2017
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

* To appear in 2017 USENIX Annual Technical Conference 

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