Chang Li

Reinforcement Learning · with Markov · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Management Science and Operations Research — 14 citations into it
• Artificial Intelligence — 13 citations into it
• Computer Networks and Communications — 8 citations into it
• Information Retrieval & Search — 7 citations into it
• Information Systems — 7 citations into it

Whom Chang Li trusts overall

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

1. Masrour Zoghi
2. Yisong Yue
3. Shimon Whiteson
4. Katja Hofmann
5. Thorsten Joachims
6. Maarten de Rijke
7. R. Ackermann
8. Olivier Chapelle
9. Peter Auer
10. Lihong Li

Papers from Chang Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Reinforcement Learning: An Introduction

Their papers

• MergeDTS (2018) — 7 citations