Shigenobu Kobayashi

Reinforcement Learning · 1997–2001

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

Subfields

Whom Shigenobu Kobayashi trusts overall

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

  1. Richard S. Sutton

Who trusts Shigenobu Kobayashi overall

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

Papers from Shigenobu Kobayashi's perspective

Ordered by how strongly the researchers Shigenobu Kobayashi 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. The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation (Parallel Problem Solving from Nature)
  4. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Reinforcement Learning: An Introduction
  10. Residual Algorithms: Reinforcement Learning with Function Approximation

Their papers