German A. Monroy
2006
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Whom German A. Monroy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kenneth O. Stanley
- Risto Miikkulainen
- Christopher D. Rosin
- Sevan Gregory Ficici
- Jordan B. Pollack
- Richard K. Belew
Who trusts German A. Monroy overall
Papers from German A. Monroy's perspective
Ordered by how strongly the researchers German A. Monroy trusts endorse each paper. Same corpus, a different order for every researcher.
- New Methods for Competitive Coevolution
- Evolving Neural Networks through Augmenting Topologies
- Competitive Coevolution through Evolutionary Complexification
- Efficient Reinforcement Learning Through Evolving Neural Network Topologies
- A Game-Theoretic Memory Mechanism for Coevolution
- Real-time neuroevolution in the NERO video game (IEEE Transactions on Evolutionary Computation)
- A Fast Learning Algorithm for Deep Belief Nets
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Dropout: a simple way to prevent neural networks from overfitting
- Gradient-based learning applied to document recognition
Their papers
- Coevolution of neural networks using a layered pareto archive (2006) — 48 citations