Charles R. Snyder

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Charles R. Snyder trusts overall

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

  1. Kenneth O. Stanley
  2. Risto Miikkulainen
  3. Joel Lehman
  4. Jason Gauci

Papers from Charles R. Snyder's perspective

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

  1. Evolving Neural Networks through Augmenting Topologies
  2. Competitive Coevolution through Evolutionary Complexification
  3. How novelty search escapes the deceptive trap of learning to learn
  4. Morphological change in machines accelerates the evolution of robust behavior
  5. Creating High-Level Components with a Generative Representation for Body-Brain Evolution
  6. A Taxonomy for Artificial Embryogeny
  7. Abandoning Objectives: Evolution Through the Search for Novelty Alone
  8. A comparison between cellular encoding and direct encoding for genetic neural networks
  9. BigDog, the Rough-Terrain Quadruped Robot
  10. Central pattern generators for locomotion control in animals and robots: A review

Their papers