Katsu Yamane

Reinforcement Learning · 2000–2019

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Katsu Yamane trusts overall

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

  1. Alla Safonova
  2. Lucas Kovar
  3. Jessica K. Hodgins
  4. Marc Peter Deisenroth
  5. Carl E. Rasmussen
  6. Pieter Abbeel
  7. Jonathan Ko
  8. Michael Gleicher
  9. Victor B. Zordan
  10. Andrew Y. Ng

Who trusts Katsu Yamane overall

  1. Ashesh Jain
  2. James J. Kuffner Jr.
  3. Jie Tan
  4. Sylvain Calinon
  5. Wenhao Yu
  6. Nan Jiang
  7. Sebastian Bitzer
  8. Brian Wojcik
  9. Thorsten Joachims

Papers from Katsu Yamane's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Reinforcement Learning: An Introduction
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers