D. Farias

Reinforcement Learning · 2000–2004

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom D. Farias trusts overall

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

  1. Richard S. Sutton
  2. Benjamin Van Roy
  3. John N. Tsitsiklis
  4. G. Tesauro
  5. Eric V. Denardo
  6. Carlos Guestrin
  7. Geoffrey J. Gordon
  8. Peter S. Dayan
  9. Giuseppe Carlo Calafiore
  10. Francis A. Longstaff

Who trusts D. Farias overall

  1. Alan Malek
  2. Brendan O'Donoghue
  3. Mengdi Wang
  4. Yang Wang
  5. Michael H. Veatch
  6. B. '. Pires
  7. Bo Dai
  8. Dimitri P. Bertsekas
  9. Marco Claudio Campi
  10. Carlos Guestrin

Papers from D. Farias's perspective

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

  1. Learning to predict by the methods of temporal differences
  2. Temporal Difference Learning and TD-Gammon
  3. Generalized polynomial approximations in Markovian decision processes
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Approximate solutions to markov decision processes
  7. ImageNet classification with deep convolutional neural networks
  8. Efficient Solution Algorithms for Factored MDPs
  9. Valuing American Options by Simulation: A Simple Least-Squares Approach
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers