Dotan Di Castro

Reinforcement Learning · 2012–2016

A researcher in the Science corpus: 6 papers; trusts 43 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Dotan Di Castro trusts overall

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

  1. Dimitri P. Bertsekas
  2. Vivek Shripad Borkar
  3. Andrew Barto
  4. Martin L. Puterman
  5. Richard S. Sutton
  6. G. Tesauro
  7. Stephen W. Carden
  8. Jonathan Baxter
  9. John N. Tsitsiklis
  10. Peter L. Bartlett

Who trusts Dotan Di Castro overall

  1. José Antonio Arjona-Medina
  2. Santiago Paternain
  3. Shangding Gu
  4. Brendan O'Donoghue
  5. Shie Mannor
  6. Nan Jiang
  7. Tom Zahavy
  8. Aviv Tamar
  9. Yinlam Chow
  10. Nir Ben-Zrihem

Papers from Dotan Di Castro's perspective

Ordered by how strongly the researchers Dotan Di Castro 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Reinforcement Learning: An Introduction
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers