Christopher J. Sangwin

2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Christopher J. Sangwin trusts overall

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

  1. Richard S. Sutton

Papers from Christopher J. Sangwin's perspective

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

  1. Reinforcement Learning: An Introduction
  2. I. INTRODUCTION
  3. High versus low blood-pressure target in patients with septic shock. (New England Journal of Medicine)
  4. The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
  5. Residual Algorithms: Reinforcement Learning with Function Approximation
  6. Linear Least-Squares algorithms for temporal difference learning
  7. On-line Q-learning using connectionist systems
  8. Dynamic Programming and Markov Processes
  9. Near-Optimal Reinforcement Learning in Polynomial Time
  10. Parallel and distributed computation

Their papers