Peyman Setoodeh

Reinforcement Learning · 2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peyman Setoodeh trusts overall

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

  1. Yael Niv
  2. Dimitri P. Bertsekas
  3. Peter S. Dayan
  4. Richard S. Sutton
  5. Ryuichi Oka
  6. Hannah M. Bayer

Papers from Peyman Setoodeh's perspective

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

  1. Dynamic Programming
  2. Neuro-Dynamic Programming
  3. Midbrain dopamine neurons encode a quantitative reward prediction error signal.
  4. Reinforcement learning in the brain
  5. Reinforcement learning: the good, the bad and the ugly.
  6. Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook
  7. A new method for the nonlinear transformation of means and covariances in filters and estimators (IEEE Transactions on Automatic Control)
  8. Dynamic Programming and Markov Processes
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Reinforcement learning

Their papers