Santiago Zazo

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #17,273 of 35,345 by trust here, #18,186 by citations
• Reinforcement Learning — 47 citations into it
• Computer Networks and Communications — 23 citations into it; #4,713 of 9,886 by trust here, #4,757 by citations
• Optimization & Training — 14 citations into it
• Management Science and Operations Research — 11 citations into it
• Computational Mechanics — 10 citations into it
• Statistical and Nonlinear Physics — 10 citations into it; #4,336 of 10,127 by trust here, #3,735 by citations
• Electrical and Electronic Engineering — 6 citations into it

Whom Santiago Zazo trusts overall

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

1. Ali H. Sayed
2. Richard S. Sutton
3. Martin L. Puterman
4. John N. Tsitsiklis
5. Leemon C. Baird III
6. Ronald J. Williams
7. Dimitri P. Bertsekas
8. Hamid Reza Maei
9. Diederik P. Kingma
10. Andrew Barto

Who trusts Santiago Zazo overall

1. Afshin Oroojlooyjadid
2. Lucas Cassano
3. Donghwan Lee
4. Yan Zhang

Papers from Santiago Zazo's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Reinforcement Learning: An Introduction
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Asynchronous Methods for Deep Reinforcement Learning
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Distributed Policy Evaluation Under Multiple Behavior Strategies (2013) — 110 citations
• Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning (2017) — 31 citations
• Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning (2017) — 17 citations