Robert L. Popp

2005

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Robert L. Popp trusts

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

  1. Martin L. Puterman (in Reinforcement Learning)
  2. Richard S. Sutton (in Reinforcement Learning)
  3. Andrew Barto (in Reinforcement Learning)

Papers from Robert L. Popp's perspective

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

  1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  2. Reinforcement Learning: An Introduction
  3. Dynamic Programming and Markov Processes
  4. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems
  5. Reinforcement learning
  6. Residual Algorithms: Reinforcement Learning with Function Approximation
  7. Stable Function Approximation in Dynamic Programming
  8. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
  9. Near-Optimal Reinforcement Learning in Polynomial Time
  10. Linear Least-Squares algorithms for temporal difference learning

Their papers