Bruno Castro da Silva

Reinforcement Learning · 2006–2021

A researcher in the Science corpus: 5 papers; trusts 120 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Bruno Castro da Silva trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. George Dimitri Konidaris
  4. Andrew Y. Ng
  5. Satinder Singh
  6. Ronald J. Williams
  7. Jan Peters
  8. Peter Stone
  9. Doina Precup
  10. Geoffrey E. Hinton

Who trusts Bruno Castro da Silva overall

  1. Sao Mai Nguyen
  2. Daniel Jaymin Mankowitz
  3. Christian Daniel
  4. Gerhard Neumann
  5. Pierre-Yves Oudeyer
  6. Pablo Hernandez-Leal
  7. Timothy A. Mann
  8. Emmanuel Hadoux
  9. Wenhao Yu
  10. Jan Peters

Papers from Bruno Castro da Silva's perspective

Ordered by how strongly the researchers Bruno Castro da Silva 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers