Hajime Kimura

Reinforcement Learning · 1997–2001

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Hajime Kimura trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. John N. Tsitsiklis
  4. Satinder Singh
  5. Michael L. Littman
  6. Leemon C. Baird III
  7. Vijay R. Konda
  8. Tommi S. Jaakkola

Who trusts Hajime Kimura overall

  1. Pawel Wawrzynski
  2. Jonathan Baxter
  3. Takamitsu Matsubara
  4. Gen Endo
  5. Jun Morimoto
  6. Peter L. Bartlett
  7. Russ Tedrake
  8. J. Urgen Schmidhuber
  9. Lex Weaver
  10. John Schulman

Papers from Hajime Kimura's perspective

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

  1. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  2. Actor-Critic Algorithms
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Reinforcement Learning: An Introduction
  6. ImageNet classification with deep convolutional neural networks
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Residual Algorithms: Reinforcement Learning with Function Approximation
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Continuous control with deep reinforcement learning (International Conference on Learning Representations)

Their papers