Douglas Aberdeen
Reinforcement Learning · 2003–2006
A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 24 citations into it; #2,187 of 2,242 by trust here, #2,092 by citations
- Optimization & Training — 11 citations into it
- Artificial Intelligence — 9 citations into it; #8,586 of 35,345 by trust here, #19,873 by citations
- Management Science and Operations Research — 6 citations into it
- Model Architectures — 5 citations into it
Whom Douglas Aberdeen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tommi S. Jaakkola
- Richard S. Sutton
- Ronald J. Williams
- J. Urgen Schmidhuber
- G. Tesauro
- Leonid Peshkin
- Satinder Singh
- Andrew Y. Ng
- Sebastian Thrun
- Michael I. Jordan
Who trusts Douglas Aberdeen overall
- J. Urgen Schmidhuber
- Daan Wierstra
- Jan Peters
- Thomas Rückstieß
- Yoshua Bengio
- Ivo Grondman
- Frank Sehnke
- Sergey Levine
- Trevor Darrell
- Quoc V. Le
Papers from Douglas Aberdeen's perspective
Ordered by how strongly the researchers Douglas Aberdeen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Policy-Gradient Algorithms for Partially Observable Markov Decision Processes (2003) — 94 citations
- Natural Actor-Critic for Road Traffic Optimisation (2006) — 112 citations
- Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation (2005) — 42 citations