Tsuyoshi Ueno

Reinforcement Learning · 2011–2016

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it
• Artificial Intelligence — 12 citations into it
• Optimization & Training — 8 citations into it

Whom Tsuyoshi Ueno trusts overall

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

1. Richard S. Sutton
2. Leemon C. Baird III
3. Shun-ichi Amari
4. Stephen W. Carden
5. Andrew Barto
6. Hirotugu Akaike
7. Shie Mannor
8. Dimitri P. Bertsekas
9. Steven J. Bradtke
10. Sridhar Mahadevan

Who trusts Tsuyoshi Ueno overall

1. Nathan Kallus
2. Masatoshi Uehara
3. Xiufeng Yang
4. Huizhen Yu
5. Peter I. Frazier

Papers from Tsuyoshi Ueno's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Residual Algorithms: Reinforcement Learning with Function Approximation
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• COMBO: An efficient Bayesian optimization library for materials science (2016) — 312 citations
• Generalized TD Learning (2011) — 30 citations