Salvatore Candido

Reinforcement Learning · with Bellemare · 2013–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it
• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it; #19,373 of 21,575 by trust here, #14,822 by citations
• Control and Systems Engineering — 13 citations into it; #7,278 of 8,257 by trust here, #3,865 by citations

Whom Salvatore Candido trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Sergey Levine
4. Carl E. Rasmussen
5. Volodymyr Mnih
6. Vinod Nair
7. Andrew Barto
8. Diederik P. Kingma
9. Richard Szeliski
10. Alex Krizhevsky

Who trusts Salvatore Candido overall

1. Jeffrey Mahler

Papers from Salvatore Candido's perspective

Ordered by how strongly the researchers Salvatore Candido 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. 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. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Human-level control through deep reinforcement learning

Their papers

• Autonomous navigation of stratospheric balloons using reinforcement learning (2020) — 408 citations
• Cloud-based robot grasping with the google object recognition engine (2013) — 270 citations