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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions


Jul 25, 2022
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang

* ICML 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization


Jun 16, 2022
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Stochastic Gradient Descent without Full Data Shuffle


Jun 12, 2022
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

* This technical report is an extension of our SIGMOD 2022 paper titled "In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle". https://doi.org/10.1145/3514221.3526150 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms


Feb 22, 2022
Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Rethinking Graph Convolutional Networks in Knowledge Graph Completion


Feb 08, 2022
Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu

* Accepted to WWW 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game


Oct 19, 2021
Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang

* ICML 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Deep Value-network Based Approach for Multi-Driver Order Dispatching


Jun 08, 2021
Xiaocheng Tang, Zhiwei Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye

* KDD 2019 Oral 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms


Jun 04, 2021
Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye

* KDD 2021; Ride-hailing marketplace open simulation platform: https://outreach.didichuxing.com/Simulation/ 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Reinforcement Learning for Ridesharing: A Survey


May 03, 2021
Zhiwei Qin, Hongtu Zhu, Jieping Ye


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
6
7
>>