Michael A. Goodrich

Artificial Intelligence · 2001–2017

A researcher in the Science corpus: 9 papers; trusts 26 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Michael A. Goodrich trusts overall

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

  1. Thomas B. Sheridan
  2. Michael L. Littman
  3. Richard S. Sutton
  4. R. May
  5. John D. Lee
  6. Herbert Gintis
  7. Cynthia Lynn Breazeal
  8. Ronen I. Brafman
  9. Gavin Adrian Rummery
  10. Junling Hu

Who trusts Michael A. Goodrich overall

  1. Panagiota Tsarouchi
  2. Jenay M. Beer
  3. Jessie Y.C. Chen
  4. Aaron Steinfeld
  5. Laurel Dawn Riek
  6. Jangwon Lee
  7. Saeid Nahavandi
  8. Pablo Hernandez-Leal
  9. Andreas Kolling
  10. Sotiris Makris

Papers from Michael A. Goodrich's perspective

Ordered by how strongly the researchers Michael A. Goodrich trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. Human-level control through deep reinforcement learning
  3. Reinforcement Learning: A Survey
  4. The Theory of Learning in Games
  5. Correlated Q-Learning
  6. ImageNet classification with deep convolutional neural networks
  7. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
  8. A decision-theoretic generalization of on-line learning and an application to boosting
  9. Gradient-based learning applied to document recognition
  10. Friend-or-Foe Q-learning in General-Sum Games

Their papers