Dongheui Lee

Control and Systems Engineering · 2012–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 25 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Biomedical Engineering — 10 citations into it
• Robotics & Control — 7 citations into it
• Social Psychology — 5 citations into it

Whom Dongheui Lee trusts overall

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

1. Sylvain Calinon
2. Aude Gemma Billard
3. Lawrence R. Rabiner
4. Geoffrey E. Hinton
5. Sergey Levine
6. Abhishek Gupta
7. Vikash Kumar
8. Stefan Schaal

Papers from Dongheui Lee's perspective

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

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

Their papers

• Feedback motion planning and learning from demonstration in physical robotic assistance: differences and synergies (2012) — 35 citations
• On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation (2018) — 32 citations
• Incremental learning of full body motion primitives and their sequencing through human motion observation (2012) — 248 citations