Ruben Rodriguez Torrado

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #35,112 of 35,345 by trust here, #19,018 by citations
• Sociology and Political Science — 5 citations into it

Whom Ruben Rodriguez Torrado trusts overall

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

1. Tom Schaul
2. Volodymyr Mnih
3. Alex Graves
4. Yoshua Bengio

Who trusts Ruben Rodriguez Torrado overall

1. Sebastian Risi
2. Rui Wang
3. James Goodman
4. Karl Cobbe
5. Minqi Jiang
6. Emmanuel Bengio

Papers from Ruben Rodriguez Torrado's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Asynchronous Methods for Deep Reinforcement Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Et al
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Playing Atari with Deep Reinforcement Learning (arXiv.org)
9. Curriculum learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation (2018) — 205 citations
• Evolving Agents for the Hanabi 2018 CIG Competition (2018) — 26 citations