Matthew S. Maxwell

Reinforcement Learning · 2010

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew S. Maxwell trusts overall

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

  1. Dimitri P. Bertsekas
  2. Warrren B Powell
  3. Richard S. Sutton
  4. P. Pardalos
  5. D. Farias
  6. John N. Tsitsiklis
  7. Luce Brotcorne
  8. Benjamin Van Roy
  9. Jennie Si
  10. Andrew Barto

Papers from Matthew S. Maxwell's perspective

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

  1. Learning to predict by the methods of temporal differences
  2. Neuro-Dynamic Programming
  3. Generalized polynomial approximations in Markovian decision processes
  4. An Analysis of Temporal-Difference Learning with Function Approximation
  5. The Linear Programming Approach to Approximate Dynamic Programming
  6. Approximate dynamic programming: solving the curses of dimensionality
  7. Stochastic optimal control : the discrete time case
  8. Linear Least-Squares algorithms for temporal difference learning
  9. Temporal Difference Learning and TD-Gammon
  10. Ambulance location and relocation models (European Journal of Operational Research)

Their papers