Drew Bagnell

Artificial Intelligence · with Bagnell · 2006

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #7,401 of 35,345 by trust here, #6,720 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Reinforcement Learning — 5 citations into it; #679 of 2,242 by trust here, #632 by citations

Whom Drew Bagnell trusts overall

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

1. Yann LeCun
2. Tong Zhang
3. Martin A. Zinkevich
4. Martin L. Puterman

Who trusts Drew Bagnell overall

1. Sergey Levine
2. Nathan D. Ratliff
3. Pieter Abbeel
4. Anca Dragan
5. J. Bagnell
6. Kun Li
7. Chelsea Finn
8. Ashesh Jain

Papers from Drew Bagnell's perspective

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

1. Gradient-based learning applied to document recognition
2. Large Margin Methods for Structured and Interdependent Output Variables
3. Max-Margin Markov Networks
4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
5. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
6. Logarithmic regret algorithms for online convex optimization
7. ImageNet classification with deep convolutional neural networks
8. Off-Road Obstacle Avoidance through End-to-End Learning
9. Learning structured prediction models: a large margin approach
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Maximum margin planning (2006) — 815 citations