Zhe Xu

Reinforcement Learning · with Li · 2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 19 citations into it

Whom Zhe Xu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton
2. Andrew Barto
3. Ming Tan
4. Lucian Busoniu
5. Volodymyr Mnih
6. Michael L. Littman
7. David Silver
8. Ryan J. Lowe
9. Michael J. Wooldridge
10. Harry H. Cheng

Who trusts Zhe Xu overall

1. Huichu Zhang

Papers from Zhe Xu's perspective

Ordered by how strongly the researchers Zhe Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. Asynchronous Methods for Deep Reinforcement Learning
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. The Arcade Learning Environment: An Evaluation Platform for General Agents
7. Gradient-based learning applied to document recognition
8. Mastering the game of Go with deep neural networks and tree search
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (2018) — 386 citations
• Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (2018) — 444 citations