Toshiyuki Yasuda

2008

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Toshiyuki Yasuda trusts overall

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

  1. Richard S. Sutton
  2. Ronald J. Williams
  3. Longxin Lin
  4. Kenji Doya

Who trusts Toshiyuki Yasuda overall

  1. Jens Kober

Papers from Toshiyuki Yasuda's perspective

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

  1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  2. Reinforcement Learning in Continuous Time and Space
  3. Learning internal representations by error propagation
  4. Scaling Up Reinforcement Learning for Robot Control
  5. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
  6. Dynamic Programming and Markov Processes
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  9. Gradient-based learning applied to document recognition
  10. Residual Algorithms: Reinforcement Learning with Function Approximation

Their papers