Jonathan L. Shapiro

Artificial Intelligence · 2002–2017

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan L. Shapiro trusts overall

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

  1. Teuvo Kohonen
  2. Bernd Fritzke
  3. Peter Auer
  4. Martin A. Zinkevich
  5. Gail A. Carpenter
  6. Michael H. Bowling
  7. Thomas Martinetz
  8. Michael L. Littman
  9. Ben J. A. Kröse

Who trusts Jonathan L. Shapiro overall

  1. German Ignacio Parisi
  2. Stefan Wermter
  3. Luiza Mici
  4. Stefano V. Albrecht
  5. Cornelius Weber
  6. Jun Tani
  7. Jakob N. Foerster
  8. Nourhan Elfaramawy
  9. Francisco Cruz
  10. Dizan Vasquez

Papers from Jonathan L. Shapiro's perspective

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

  1. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  2. Learning from delayed rewards
  3. Self-organized formation of topographically correct feature maps
  4. Regret Minimization in Games with Incomplete Information
  5. Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps
  6. Finite-time Analysis of the Multiarmed Bandit Problem
  7. Self-Organization and Associative Memory
  8. The Cascade-Correlation Learning Architecture
  9. 'Neural-gas' network for vector quantization and its application to time-series prediction
  10. Self-organized formation of topologically correct feature maps

Their papers