Joshua D. Redding

Reinforcement Learning · 2011

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

Subfields

Whom Joshua D. Redding trusts overall

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

  1. Richard S. Sutton
  2. Shimon Whiteson

Who trusts Joshua D. Redding overall

  1. Christoph Dann

Papers from Joshua D. Redding's perspective

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

  1. Introduction to Reinforcement Learning
  2. Analyzing feature generation for value-function approximation
  3. Automatic basis function construction for approximate dynamic programming and reinforcement learning
  4. Adaptive Tile Coding for Value Function Approximation
  5. Reinforcement Learning and Dynamic Programming Using Function Approximators
  6. Gradient-based learning applied to document recognition
  7. Reinforcement Learning: An Introduction
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers