Wako Yoshida

Reinforcement Learning · 2002–2008

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Wako Yoshida trusts overall

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

  1. E. Todorov
  2. Richard S. Sutton
  3. Leslie Pack Kaelbling
  4. Albert Benveniste
  5. Christopher J. C. H. Watkins
  6. Andrew Barto
  7. Masa-aki Sato
  8. Andrew W. Moore
  9. Peter S. Dayan
  10. Herbert Gintis

Who trusts Wako Yoshida overall

  1. Chris L. Baker
  2. Kenji Doya
  3. Tathagata Chakraborti
  4. Simon Dunne
  5. Marc Lanctot
  6. Christelle Langley
  7. Rebecca Saxe
  8. Josh Tenenbaum
  9. Kris Cao
  10. John P. O'Doherty

Papers from Wako Yoshida's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Learning in embedded systems
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Planning and Acting in Partially Observable Stochastic Domains
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. A Neural Substrate of Prediction and Reward
  8. Pharmacokinetics of a novel formulation of ivermectin after administration to goats
  9. The Theory of Learning in Games
  10. Adaptive Algorithms and Stochastic Approximations

Their papers