David E. Moriarty

Reinforcement Learning · 1997–2018

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Evolutionary Computation — 6 citations into it

Whom David E. Moriarty trusts overall

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

1. David E. Goldberg
2. Scott E. Fahlman
3. Alex M. Andrew
4. Longxin Lin
5. Ben J. A. Kröse
6. Dimitri P. Bertsekas
7. Martin L. Puterman
8. Jonathan Baxter
9. Judea Pearl
10. John R. Koza

Who trusts David E. Moriarty overall

1. Faustino J. Gomez
2. J. Urgen Schmidhuber
3. Risto Miikkulainen
4. Kenneth O. Stanley
5. Mitchell A. Potter
6. Shimon Whiteson
7. Daan Wierstra
8. Hado van Hasselt
9. Christian Igel
10. Francisco Herrera

Papers from David E. Moriarty's perspective

Ordered by how strongly the researchers David E. Moriarty 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. Learning internal representations by error propagation
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Reinforcement Learning: An Introduction
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2018) — 317 citations
• Efficient reinforcement learning through symbiotic evolution (2004) — 333 citations
• Forming Neural Networks Through Efficient and Adaptive Coevolution (1997)
• Symbiotic Evolution of Neural Networks in Sequential Decision Tasks (1997)