Brian Sallans

Reinforcement Learning · 2002–2004

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 28 citations into it; #421 of 2,242 by trust here, #1,331 by citations
• Probabilistic & Bayesian Methods — 23 citations into it
• Artificial Intelligence — 9 citations into it
• Game & Decision Theory — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Brian Sallans trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Radford M. Neal
4. Sebastian Thrun
5. Andrew Barto
6. Michael I. Jordan
7. Stuart Geman
8. Gavin Adrian Rummery
9. Craig Boutilier
10. Paul Smolensky

Who trusts Brian Sallans overall

1. Sergey Levine
2. Chelsea Finn
3. Nicolas Manfred Otto Heess
4. Ivan Titov
5. James Henderson
6. Sridhar Mahadevan
7. Hado van Hasselt
8. David Silver
9. Makoto Otsuka
10. Pieter Abbeel

Papers from Brian Sallans's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Reinforcement Learning with Factored States and Actions (2004) — 188 citations
• Reinforcement learning for factored Markov decision processes (2002) — 34 citations