Yingdong Lu

Reinforcement Learning · 2005–2018

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it

Whom Yingdong Lu trusts overall

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

1. Richard S. Sutton
2. Dimitri P. Bertsekas
3. Csaba Szepesvari
4. Andrew Barto
5. Gavin Adrian Rummery
6. Michael L. Littman
7. Leslie Pack Kaelbling
8. Kavosh Asadi
9. Damien Ernst
10. R´emi Munos

Who trusts Yingdong Lu overall

1. Anatolii A. Puhalskii

Papers from Yingdong Lu's perspective

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

1. Reinforcement Learning: An Introduction
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
7. Human-level control through deep reinforcement learning
8. Asynchronous Methods for Deep Reinforcement Learning
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A General Family of Robust Stochastic Operators for Reinforcement Learning (2018) — 3 citations
• Theory of Martingales (2013) — 246 citations
• Backorder minimization in multiproduct assemble-to-order systems (2005) — 49 citations