Jeffrey Johns

Reinforcement Learning · 2007

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it; #1,902 of 2,242 by trust here, #2,201 by citations

Whom Jeffrey Johns trusts overall

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

1. Andrew Barto
2. Dimitri P. Bertsekas
3. Richard Bellman
4. Richard S. Sutton
5. Michail G. Lagoudakis
6. Petros Drineas
7. Florentin Wörgötter
8. George Karypis
9. Ronald E. Parr
10. Michael W. Mahoney

Who trusts Jeffrey Johns overall

1. Sridhar Mahadevan
2. Mauro Maggioni

Papers from Jeffrey Johns's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Reinforcement Learning: An Introduction
6. Neuro-Dynamic Programming
7. Introduction to Reinforcement Learning
8. Least-Squares Policy Iteration
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Et al

Their papers

• Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization (2007) — 16 citations