Huao Li

Reinforcement Learning · 2018

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 — 7 citations into it

Whom Huao Li trusts overall

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

1. Richard S. Sutton
2. Ronald J. Williams
3. Volodymyr Mnih

Papers from Huao Li's perspective

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

1. Going deeper with convolutions
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Asynchronous Methods for Deep Reinforcement Learning
4. Human-level control through deep reinforcement learning
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Improving neural networks by preventing co-adaptation of feature detectors
9. Visualizing and Understanding Convolutional Networks
10. Building high-level features using large scale unsupervised learning

Their papers

• Transparency and Explanation in Deep Reinforcement Learning Neural Networks (2018) — 195 citations