Martin Levihn

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Control and Systems Engineering — 6 citations into it
• Reinforcement Learning — 6 citations into it

Whom Martin Levihn trusts overall

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

1. Marc Peter Deisenroth
2. Duy Nguyen-Tuong
3. Jan Peters
4. Lydia E. Kavraki
5. Ioannis A. Kakadiaris
6. Nikos A. Vlassis

Who trusts Martin Levihn overall

1. Rico Jonschkowski
2. Abdeslam Boularias
3. Shaojun Zhu
4. Vikrant Goel
5. Debidatta Dwibedi
6. Timothée Lesort

Papers from Martin Levihn's perspective

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

1. A Survey on Policy Search for Robotics
2. ImageNet classification with deep convolutional neural networks
3. Reinforcement Learning: An Introduction
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
6. An object-oriented representation for efficient reinforcement learning
7. Learning Multiple Layers of Features from Tiny Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Learning physics-based motion style with nonlinear inverse optimization (ACM Transactions on Graphics)

Their papers

• A Physics-Based Model Prior for Object-Oriented MDPs (2014) — 67 citations