Thiago D. Simão

Reinforcement Learning · 2019

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 36 citations into it
• Artificial Intelligence — 23 citations into it; #20,506 of 35,345 by trust here, #29,412 by citations
• Management Science and Operations Research — 7 citations into it

Whom Thiago D. Simão trusts overall

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

1. Philip S. Thomas
2. Romain Laroche
3. Carlos Guestrin
4. Mohammad Ghavamzadeh
5. Georgios Theocharous
6. Richard S. Sutton
7. Garud N. Iyengar
8. Martin L. Puterman
9. Ronen I. Brafman
10. Alexander L. Strehl

Who trusts Thiago D. Simão overall

1. Kimia Nadjahi
2. Romain Laroche
3. Matthijs T. J. Spaan
4. Rémi Tachet des Combes

Papers from Thiago D. Simão's perspective

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

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

Their papers

• Safe Policy Improvement with an Estimated Baseline Policy (2019) — 26 citations
• Safe Policy Improvement with Baseline Bootstrapping in Factored Environments (2019) — 26 citations
• Structure Learning for Safe Policy Improvement (2019) — 9 citations