Matthew Saffell

Reinforcement Learning · 1998–2001

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Saffell trusts overall

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

  1. Ronald J. Williams
  2. Paul J. Werbos
  3. Richard S. Sutton
  4. David Zipser
  5. G. Tesauro
  6. David E. Rumelhart
  7. John N. Tsitsiklis
  8. Andrew Barto
  9. Geoffrey E. Hinton
  10. Vijay R. Konda

Who trusts Matthew Saffell overall

  1. Zhengyao Jiang
  2. Whye Loon Tung
  3. Hiok Chai Quek
  4. Aviv Tamar
  5. Takashi Matsubara
  6. Chiao-Ting Chen
  7. Yuxi Li
  8. Yue Deng
  9. Jinjun Liang
  10. John E. Moody

Papers from Matthew Saffell's perspective

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

  1. Learning internal representations by error propagation
  2. Reinforcement Learning: An Introduction
  3. Temporal credit assignment in reinforcement learning
  4. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  5. Efficient Learning and Planning Within the Dyna Framework
  6. Actor-Critic Algorithms
  7. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
  8. Reinforcement Learning: A Survey
  9. Simulation-based optimization of Markov reward processes
  10. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play

Their papers