Yuting Wei

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it

Whom Yuting Wei trusts overall

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

1. John N. Tsitsiklis
2. Csaba Szepesvari
3. Ben J. A. Kröse
4. Richard S. Sutton
5. Vivek Shripad Borkar
6. Tommi S. Jaakkola
7. Eyal Even-Dar
8. Rie Johnson
9. Lin F. Yang
10. Devavrat Shah

Who trusts Yuting Wei overall

1. Ming Yin

Papers from Yuting Wei's perspective

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

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

Their papers

• Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction (2020) — 145 citations