Ai Poh Loh

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 26 citations into it
• Artificial Intelligence — 21 citations into it
• Control and Systems Engineering — 9 citations into it
• Biomedical Engineering — 6 citations into it

Whom Ai Poh Loh trusts overall

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

1. Marc Peter Deisenroth
2. Jan Peters
3. Carl E. Rasmussen
4. Gerhard Neumann
5. Stefan Schaal
6. Jeff Schneider
7. Richard S. Sutton
8. Michalis K. Titsias
9. Christopher G. Atkeson
10. Katharina Muelling

Papers from Ai Poh Loh's perspective

Ordered by how strongly the researchers Ai Poh Loh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Reinforcement Learning: An Introduction
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Model-based contextual policy search for data-efficient generalization of robot skills (2017) — 80 citations