Landon Kraemer

Reinforcement Learning · 2012–2016

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Landon Kraemer trusts overall

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

  1. Stephen W. Carden
  2. Peter Auer
  3. Richard S. Sutton
  4. Yaxin Liu
  5. Peter Stone
  6. Andrew Barto
  7. Bikramjit Banerjee
  8. Frans Adriaan Oliehoek
  9. Shlomo Zilberstein
  10. Craig Boutilier

Who trusts Landon Kraemer overall

  1. Tabish Rashid
  2. Jakob N. Foerster
  3. Gregory Farquhar
  4. Bikramjit Banerjee
  5. Mikayel Samvelyan
  6. Shimon Whiteson
  7. Anuj Mahajan
  8. Christian Schröder de Witt
  9. Bei Peng
  10. Jeremy Lyle

Papers from Landon Kraemer's perspective

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

  1. Reinforcement Learning: An Introduction
  2. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
  3. The Complexity of Decentralized Control of Markov Decision Processes
  4. An Introduction to Reinforcement Learning
  5. ImageNet classification with deep convolutional neural networks
  6. Reinforcement learning with selective perception and hidden state
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Introduction to Reinforcement Learning

Their papers