Yan Zhang

Reinforcement Learning · with Zavlanos · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 6 citations into it

Whom Yan Zhang trusts overall

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

1. Richard S. Sutton
2. Leemon C. Baird III
3. Vivek Shripad Borkar
4. Volodymyr Mnih
5. David Silver
6. Hamid Reza Maei
7. Vijay R. Konda
8. Pascal Bianchi
9. Csaba Szepesvari
10. Donghwan Lee

Who trusts Yan Zhang overall

1. Afshin Oroojlooyjadid
2. Kaiqing Zhang
3. Tonghan Wang

Papers from Yan Zhang's perspective

Ordered by how strongly the researchers Yan Zhang 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. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Human-level control through deep reinforcement learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus (2019) — 51 citations