P. Liotet

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Reinforcement Learning — 10 citations into it

Whom P. Liotet trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. Marc Peter Deisenroth
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Aäron van den Oord
7. Alberto Maria Metelli
8. Matthew Riemer
9. Max Jaderberg
10. Ilya Sutskever

Papers from P. Liotet's perspective

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

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

Their papers

• Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization (2021) — 11 citations