Yasuhiro Fujita

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 36 citations into it; #2,174 of 2,242 by trust here, #1,586 by citations
• Artificial Intelligence — 32 citations into it; #34,243 of 35,345 by trust here, #18,586 by citations
• Control and Systems Engineering — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Yasuhiro Fujita trusts overall

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

1. Sergey Levine
2. Pieter Abbeel
3. Richard S. Sutton
4. John Schulman
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Jan Peters
8. Chelsea Finn
9. Yoshua Bengio
10. J. Urgen Schmidhuber

Who trusts Yasuhiro Fujita overall

1. Pieter Abbeel

Papers from Yasuhiro Fujita's perspective

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

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

Their papers

• Model-Based Reinforcement Learning via Meta-Policy Optimization (2018) — 259 citations