Rob Powers

Reinforcement Learning · 2002–2007

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Rob Powers trusts overall

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

  1. Michael L. Littman
  2. Caroline Claus
  3. G. Tesauro
  4. Michael H. Bowling
  5. Christopher J. C. H. Watkins
  6. Craig Boutilier
  7. Drew Fudenberg
  8. Richard S. Sutton
  9. Satinder Singh
  10. Ronen I. Brafman

Who trusts Rob Powers overall

  1. Karl Tuyls
  2. Lucian Busoniu
  3. Erik Zawadzki
  4. Pablo Hernandez-Leal
  5. Pieter Jan't Hoen
  6. Yoav Shoham
  7. Thuc D. Vu
  8. Robert Babuška
  9. Asher Lipson
  10. Ana Lúcia Cetertich Bazzan

Papers from Rob Powers's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  3. ImageNet classification with deep convolutional neural networks
  4. Reinforcement Learning: A Survey
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Gradient-based learning applied to document recognition
  7. Asynchronous Methods for Deep Reinforcement Learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers