Vicenç Gómez

Reinforcement Learning · 2008–2019

A researcher in the Science corpus: 7 papers; trusts 99 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Vicenç Gómez trusts overall

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

  1. Richard S. Sutton
  2. R´emi Munos
  3. Dimitri P. Bertsekas
  4. Csaba Szepesvari
  5. Mark Newman
  6. Andrew Barto
  7. Hilbert J. Kappen
  8. Jan Peters
  9. E. Todorov
  10. David John Cameron MacKay

Who trusts Vicenç Gómez overall

  1. Ofir Nachum
  2. Sergey Levine
  3. Mohammad Norouzi
  4. Cristian Danescu-Niculescu-Mizil
  5. Hao Wang
  6. Pedro A. Ortega
  7. Roy Fox
  8. Naftali Tishby
  9. Natasha Jaques
  10. Hilbert J. Kappen

Papers from Vicenç Gómez's perspective

Ordered by how strongly the researchers Vicenç Gómez 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. Learning Multiple Layers of Features from Tiny Images
  9. Reinforcement Learning: An Introduction
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers