Philipp W. Keller

Reinforcement Learning · 2006

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Philipp W. Keller trusts overall

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

1. Richard S. Sutton
2. Justin A. Boyan
3. Andrew Barto
4. Steven J. Bradtke
5. Ishai Menache
6. Robert A. Jacobs
7. Jacob Goldberger
8. John N. Tsitsiklis
9. Geoffrey E. Hinton
10. Shie Mannor

Who trusts Philipp W. Keller overall

1. Csaba Szepesvari
2. Michael L. Littman
3. Christoph Dann
4. J. Kolter
5. Sridhar Mahadevan
6. Lihong Li
7. Ronald E. Parr
8. Alborz Geramifard
9. Yi Sun
10. Graham W. Taylor

Papers from Philipp W. Keller's perspective

Ordered by how strongly the researchers Philipp W. Keller 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. Linear Least-Squares algorithms for temporal difference learning
6. An Analysis of Temporal-Difference Learning with Function Approximation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Automatic basis function construction for approximate dynamic programming and reinforcement learning (2006) — 183 citations