Yuanshuo Zhou

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #19,233 of 35,345 by trust here, #30,347 by citations
• Reinforcement Learning — 18 citations into it
• Management Science and Operations Research — 15 citations into it; #5,791 of 11,946 by trust here, #8,906 by citations
• Statistics and Probability — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Yuanshuo Zhou trusts overall

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

1. Sham M. Kakade
2. Richard S. Sutton
3. Marc Peter Deisenroth
4. John Schulman
5. Rie Johnson
6. Shipra Agrawal
7. Zihan Zhang
8. Mohammad Gheshlaghi Azar
9. Thomas Jaksch
10. Geoffrey E. Hinton

Who trusts Yuanshuo Zhou overall

1. Qinghua Liu
2. Chi Jin
3. Ming Yin
4. Alex Ayoub
5. Yu Bai
6. Weichao Mao

Papers from Yuanshuo Zhou's perspective

Ordered by how strongly the researchers Yuanshuo Zhou 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Human-level control through deep reinforcement learning
6. Long Short-Term Memory
7. Asynchronous Methods for Deep Reinforcement Learning
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition (2020) — 181 citations
• Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy (2018) — 21 citations
• Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs (2018) — 3 citations