Tetsuro Morimura

Reinforcement Learning · 2010

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it; #1,967 of 2,242 by trust here, #1,728 by citations
• Artificial Intelligence — 11 citations into it; #32,254 of 35,345 by trust here, #21,878 by citations
• Probabilistic & Bayesian Methods — 6 citations into it; #1,381 of 1,525 by trust here, #991 by citations

Whom Tetsuro Morimura trusts overall

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

1. Andrew Barto
2. Richard S. Sutton
3. Shun-ichi Amari
4. Yaakov Engel
5. Matthias Heger
6. Michael Kearns
7. Richard Dearden
8. Michail G. Lagoudakis
9. Christopher J. C. H. Watkins
10. Ronen I. Brafman

Who trusts Tetsuro Morimura overall

1. Javier García
2. Will Dabney
3. Yinlam Chow
4. Marc G. Bellemare
5. Fernando Fernández
6. Mohammad Ghavamzadeh
7. Shangtong Zhang
8. Scott Fujimoto
9. Aviv Tamar
10. R´emi Munos

Papers from Tetsuro Morimura's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Pattern Recognition and Machine Learning
7. Long Short-Term Memory
8. Near-Optimal Reinforcement Learning in Polynomial Time
9. Natural Gradient Works Efficiently in Learning
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Parametric Return Density Estimation for Reinforcement Learning (2010) — 120 citations
• Nonparametric Return Distribution Approximation for Reinforcement Learning (2010) — 125 citations