Edgar A. Duéñez-Guzmán

Reinforcement Learning · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 71 citations into it
• Artificial Intelligence — 66 citations into it; #17,118 of 35,345 by trust here, #14,438 by citations
• Management Science and Operations Research — 16 citations into it
• Computational Theory and Mathematics — 12 citations into it; #7,589 of 12,182 by trust here, #3,796 by citations
• Control and Systems Engineering — 12 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Edgar A. Duéñez-Guzmán trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Volodymyr Mnih
4. Hado van Hasselt
5. Ronald J. Williams
6. John Schulman
7. Geoffrey E. Hinton
8. Peter Geibel
9. Satinder Singh
10. Yinlam Chow

Who trusts Edgar A. Duéñez-Guzmán overall

1. Gabriel Dulac-Arnold
2. Adam Stooke
3. Shangding Gu

Papers from Edgar A. Duéñez-Guzmán's perspective

Ordered by how strongly the researchers Edgar A. Duéñez-Guzmán trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• A Lyapunov-based Approach to Safe Reinforcement Learning (2018) — 665 citations
• Lyapunov-based Safe Policy Optimization for Continuous Control (2019) — 297 citations
• Malthusian Reinforcement Learning (2018) — 43 citations
• Inequity aversion improves cooperation in intertemporal social dilemmas (2018) — 271 citations
• Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning (2020) — 103 citations