Hung Manh La

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 7 citations into it
• Reinforcement Learning — 7 citations into it
• Aerospace Engineering — 6 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Hung Manh La trusts overall

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

1. Lucian Busoniu
2. Christos H. Papadimitriou
3. Amy Greenwald
4. Shuzhi Sam Ge
5. Robert Babuška
6. Carlos Guestrin
7. Ann Nowé
8. Mac Schwager
9. Haitham Bou-Ammar
10. Jorge Cortés

Who trusts Hung Manh La overall

1. Kaiqing Zhang

Papers from Hung Manh La's perspective

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

1. Reinforcement Learning: An Introduction
2. Object recognition from local scale-invariant features
3. Nash Q-Learning for General-Sum Stochastic Games
4. Support-Vector Networks
5. Random Forests
6. A Comprehensive Survey of Multiagent Reinforcement Learning
7. Reinforcement Learning and Dynamic Programming Using Function Approximators
8. Correlated Q-Learning
9. Experiments with a New Boosting Algorithm
10. The Laplacian Pyramid as a Compact Image Code

Their papers

• Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage (2018) — 105 citations
• Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks (2017) — 336 citations
• Automated Crack Detection on Concrete Bridges (2016) — 405 citations