Pingli Lv

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 18 citations into it

Whom Pingli Lv trusts overall

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

1. Hado van Hasselt
2. Volodymyr Mnih
3. David Silver
4. Richard S. Sutton
5. Alex Graves
6. Geoffrey E. Hinton
7. Tom Schaul
8. Yoshua Bengio
9. Levente Kocsis
10. Matthew J. Hausknecht

Papers from Pingli Lv's perspective

Ordered by how strongly the researchers Pingli Lv 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Reinforcement Learning: An Introduction
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Stochastic Double Deep Q-Network (2019) — 29 citations