Zhiyu Lin

Reinforcement Learning · 2017

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

Subfields

• Reinforcement Learning — 17 citations into it; #2,037 of 2,242 by trust here, #2,160 by citations

Whom Zhiyu Lin trusts overall

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

1. Christopher J. C. H. Watkins
2. Volodymyr Mnih
3. Peter S. Dayan
4. Koray Kavukcuoglu
5. Pieter Abbeel
6. Richard S. Sutton
7. Geoffrey E. Hinton
8. Alex Graves

Who trusts Zhiyu Lin overall

1. Eric
2. Yeh

Papers from Zhiyu Lin's perspective

Ordered by how strongly the researchers Zhiyu Lin 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. Playing Atari with Deep Reinforcement Learning (arXiv.org)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds (2017) — 39 citations