Martin L. Puterman

Reinforcement Learning · 1978–2018

A researcher in the Science corpus: 8 papers; trusts 1 researcher and is trusted by 946 researchers here, as inferred from the citation graph.

Subfields

Whom Martin L. Puterman trusts overall

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

  1. Andrew Barto

Who trusts Martin L. Puterman overall

  1. Craig Boutilier
  2. Lihong Li
  3. Michael L. Littman
  4. Matthew E. Taylor
  5. R´emi Munos
  6. Ofir Nachum
  7. Bo Dai
  8. Hado van Hasselt
  9. Sergey Levine
  10. Peter Stone

Papers from Martin L. Puterman's perspective

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

  1. Dynamic Programming and Markov Processes
  2. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems
  3. Reinforcement learning
  4. Exact finite approximations of average-cost countable Markov decision processes
  5. The Linear Programming Approach to Approximate Dynamic Programming
  6. OUTPATIENT SCHEDULING IN HEALTH CARE: A REVIEW OF LITERATURE
  7. A Sequential Bounding Approach for Optimal Appointment Scheduling
  8. Managing Patient Service in a Diagnostic Medical Facility (Operational Research)
  9. Temporal Difference Learning and TD-Gammon
  10. Learning to predict by the methods of temporal differences

Their papers