Keith A. Bush

Reinforcement Learning · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 25 citations into it

Whom Keith A. Bush trusts overall

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

1. Richard S. Sutton
2. Andrew McCallum
3. Satinder Singh
4. Christopher G. Atkeson
5. Dana H. Ballard
6. R´emi Munos
7. Dimitri P. Bertsekas
8. Michael L. Littman
9. Andrew Barto
10. Andrew W. Moore

Who trusts Keith A. Bush overall

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

Papers from Keith A. Bush's perspective

Ordered by how strongly the researchers Keith A. Bush 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adaptive Control of Epileptic Seizures using Reinforcement Learning (2010)
• Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability (2009) — 19 citations