Kazuyuki Samejima

Reinforcement Learning · 2002–2005

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it; #873 of 2,242 by trust here, #1,055 by citations
• Cognitive Neuroscience — 7 citations into it; #1,491 of 10,852 by trust here, #1,573 by citations
• Artificial Intelligence — 5 citations into it; #9,284 of 35,345 by trust here, #9,870 by citations

Whom Kazuyuki Samejima trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Kenji Doya
4. Satinder Singh
5. D. M. Wolpert
6. Peter S. Dayan
7. Geoffrey E. Hinton
8. Robert A. Jacobs
9. Michael I. Jordan
10. Ronald E. Parr

Who trusts Kazuyuki Samejima overall

1. J. Urgen Schmidhuber
2. Wolfram Schultz
3. Michael J Frank
4. A. G. Collins
5. John P. O'Doherty
6. Peter S. Dayan
7. Nathaniel D. Daw
8. Kenji Doya
9. Ana Lúcia Cetertich Bazzan
10. Yoshua Bengio

Papers from Kazuyuki Samejima's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Reinforcement Learning: An Introduction
7. Attention is All you Need (Neural Information Processing Systems)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multiple Model-Based Reinforcement Learning (2002) — 530 citations
• Inter-module credit assignment in modular reinforcement learning (2003) — 65 citations
• Representation of Action-Specific Reward Values in the Striatum (2005) — 932 citations