William Benjamin Haskell

Management Science and Operations Research · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom William Benjamin Haskell trusts overall

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

  1. Dimitri P. Bertsekas
  2. Sham M. Kakade
  3. Vivek Shripad Borkar
  4. P. Pardalos
  5. Tamer Basar
  6. Vaughn Climenhaga
  7. Peter C. Kiessler
  8. John N. Tsitsiklis
  9. Harold J. Kushner
  10. Vijay R. Konda

Who trusts William Benjamin Haskell overall

  1. Devavrat Shah
  2. Qiaomin Xie

Papers from William Benjamin Haskell's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. A Stochastic Approximation Method
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. wchastic. approximation methods for constrained and unconstrained systems
  6. Gradient-based learning applied to document recognition
  7. Neuro-Dynamic Programming
  8. The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Q-learning

Their papers