Peter Vamplew

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Vamplew trusts overall

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

  1. Richard S. Sutton
  2. J. Ross Quinlan
  3. Justin A. Boyan
  4. Leslie Pack Kaelbling
  5. Brian Tanner
  6. Martin L. Puterman
  7. Daniel J. Lizotte
  8. Andrew W. Moore
  9. Richard Bellman
  10. Istvan Szita

Who trusts Peter Vamplew overall

  1. Kristof Van Moffaert
  2. Patrick Mannion
  3. Ann Nowé
  4. Diederik Marijn Roijers
  5. Chunming Liu
  6. Roxana Rădulescu
  7. Daniel J. Lizotte
  8. Runzhe Yang
  9. Abbas Abdolmaleki
  10. Chongjie Zhang

Papers from Peter Vamplew's perspective

Ordered by how strongly the researchers Peter Vamplew 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. Human-level control through deep reinforcement learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning from delayed rewards
  6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  7. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  8. Gradient-based learning applied to document recognition
  9. Reinforcement Learning: A Survey
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers