Zheyuan Ryan Shi

2018

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

Whom Zheyuan Ryan Shi trusts overall

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

1. Milind Tambe
2. Richard S. Sutton
3. Volodymyr Mnih
4. Christopher J. C. H. Watkins
5. Vijay R. Konda
6. David Silver
7. H. Brendan McMahan
8. Martin A. Zinkevich

Papers from Zheyuan Ryan Shi's perspective

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

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

Their papers

• Deep Reinforcement Learning for Green Security Games with Real-Time Information (2018) — 81 citations