Toshiyuki TANAKA

Reinforcement Learning · 1998–2010

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Toshiyuki TANAKA trusts overall

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

  1. E. Gardner
  2. Z. Bai
  3. John A. Hertz
  4. Manfred Opper
  5. E. Arkan
  6. E. Arıkan
  7. Anders Krogh
  8. Andrew Barto
  9. Shun-ichi Amari
  10. Trevor J. Hastie

Who trusts Toshiyuki TANAKA overall

  1. Jascha Narain Sohl-Dickstein
  2. Florent Krzakala
  3. Antonia Maria Tulino
  4. Adel Javanmard
  5. Nadine Hussami
  6. Aris L. Moustakas
  7. Sundeep Rangan
  8. Jean Barbier
  9. Sergio Verdú
  10. Andrea Montanari

Papers from Toshiyuki TANAKA's perspective

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

  1. Pattern Recognition and Machine Learning
  2. Natural Gradient Works Efficiently in Learning
  3. Near-Optimal Reinforcement Learning in Polynomial Time
  4. Introduction to the theory of neural computation
  5. Expectation Propagation for approximate Bayesian inference
  6. Optimization by Simulated Annealing
  7. Eligibility Traces for Off-Policy Policy Evaluation
  8. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
  9. The space of interactions in neural network models
  10. A Natural Policy Gradient

Their papers