Junichiro Yoshimoto

Reinforcement Learning · 2002–2017

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it; #1,265 of 2,242 by trust here, #1,609 by citations
• Artificial Intelligence — 11 citations into it; #19,581 of 35,345 by trust here, #21,316 by citations
• Statistics and Probability — 7 citations into it
• Molecular Biology — 6 citations into it; #7,322 of 17,773 by trust here, #12,227 by citations

Whom Junichiro Yoshimoto trusts overall

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

1. Andrew Barto
2. Francis R. Bach
3. Paul J. Werbos
4. Richard S. Sutton
5. Michael I. Jordan
6. Bram Bakker
7. Shotaro Akaho
8. Leslie Pack Kaelbling
9. Geoffrey E. Hinton
10. Nello Cristianini

Who trusts Junichiro Yoshimoto overall

1. Kenji Doya
2. J. Urgen Schmidhuber
3. Sumanta Basu
4. Stefan Elfwing

Papers from Junichiro Yoshimoto's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Reinforcement Learning: An Introduction
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Control of exploitation-exploration meta-parameter in reinforcement learning (2002) — 225 citations
• Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data (2017) — 37 citations
• Free-energy-based reinforcement learning in a partially observable environment (2010) — 18 citations