Yan Zheng

Artificial Intelligence · with Zhang · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #21,622 of 35,345 by trust here, #26,682 by citations
• Reinforcement Learning — 52 citations into it
• Computational Theory and Mathematics — 7 citations into it; #7,329 of 12,182 by trust here, #8,756 by citations

Whom Yan Zheng trusts overall

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

1. Hado van Hasselt
2. Richard S. Sutton
3. Ryuichi Oka
4. Liviu Panait
5. Zongzhang Zhang
6. Gregory Palmer
7. Daan Bloembergen
8. David Silver
9. Karl Tuyls
10. Volodymyr Mnih

Who trusts Yan Zheng overall

1. Pablo Hernandez-Leal
2. Gregory Palmer
3. Bilal Kartal
4. Rahul Savani

Papers from Yan Zheng's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Playing Atari with Deep Reinforcement Learning (arXiv.org)

Their papers

• Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning (2020) — 149 citations
• Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments (2018) — 38 citations
• Hierarchical Deep Multiagent Reinforcement Learning (2018) — 24 citations