Tyler Lu

Reinforcement Learning · 2008–2020

A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Tyler Lu trusts overall

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

  1. Richard S. Sutton
  2. Ben J. A. Kröse
  3. Marc G. Bellemare
  4. G. Tesauro
  5. Andrew Barto
  6. Leemon C. Baird III
  7. R´emi Munos
  8. Hado van Hasselt
  9. Dimitri P. Bertsekas
  10. Geoffrey J. Gordon

Who trusts Tyler Lu overall

  1. Scott Fujimoto
  2. Corinna Cortes
  3. A. Su
  4. Yuxi Li
  5. Marco Loog
  6. Justin Fu
  7. David Meger
  8. Bernhard Schölkopf
  9. Mehryar Mohri
  10. Junfeng Wen

Papers from Tyler Lu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Long Short-Term Memory
  7. Human-level control through deep reinforcement learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers