Steven D. Whitehead

Reinforcement Learning · 1991–1993

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it

Whom Steven D. Whitehead trusts overall

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

1. Richard S. Sutton
2. Ryszard S. Michalski
3. David E. Rumelhart
4. Sridhar Mahadevan
5. John H. Holland
6. Paul J. Werbos
7. Dimitri P. Bertsekas
8. Nils J. Nilsson
9. Andrew Barto
10. Leslie Pack Kaelbling

Who trusts Steven D. Whitehead overall

1. Maja J. Mataric
2. J. Urgen Schmidhuber
3. Craig Boutilier
4. Shivaram Kalyanakrishnan
5. Minoru Asada
6. R´emi Munos
7. Bob Price
8. Satinder Singh
9. Marco A. Wiering
10. Ming Tan

Papers from Steven D. Whitehead's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Pattern classification and scene analysis
9. Reinforcement Learning: An Introduction
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Online Learning with Random Representations (1993)
• Learning via task decomposition (1993)
• Reinforcement learning for the adaptive control of perception and action (1992)
• A Complexity Analysis of Cooperative Mechanisms in Reinforcement Learning (1991)