Ken-ichi Katagiri

Reinforcement Learning · 2002

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it; #872 of 2,242 by trust here, #1,055 by citations

Whom Ken-ichi Katagiri trusts overall

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

1. Andrew Barto
2. D. M. Wolpert
3. Richard S. Sutton
4. Satinder Singh
5. Kenji Doya
6. Jun Tani

Who trusts Ken-ichi Katagiri overall

1. J. Urgen Schmidhuber
2. John P. O'Doherty
3. Ana Lúcia Cetertich Bazzan
4. Frederic Kaplan
5. Emmanuel Hadoux
6. Erwan Lecarpentier

Papers from Ken-ichi Katagiri's perspective

Ordered by how strongly the researchers Ken-ichi Katagiri trusts endorse each paper. Same corpus, a different order for every researcher.

1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
2. Adaptive Mixtures of Local Experts
3. Learning Policies for Partially Observable Environments: Scaling Up
4. Reinforcement Learning with Hierarchies of Machines
5. Introduction to Reinforcement Learning
6. Reinforcement learning
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. MOSAIC Model for Sensorimotor Learning and Control (Neural Computation)
10. Transfer of learning by composing solutions of elemental sequential tasks

Their papers

• Multiple Model-Based Reinforcement Learning (2002) — 530 citations