Gavin Adrian Rummery

Reinforcement Learning · 1994–1995

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 213 researchers here, as inferred from the citation graph.

Subfields

Whom Gavin Adrian Rummery trusts overall

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

  1. Richard S. Sutton
  2. Dimitri P. Bertsekas
  3. Andrew Barto
  4. Ronald J. Williams
  5. Jing Peng
  6. Ryuichi Oka
  7. Leslie Pack Kaelbling
  8. Longxin Lin
  9. Paul J. Werbos
  10. John N. Tsitsiklis

Who trusts Gavin Adrian Rummery overall

  1. Matthew E. Taylor
  2. Richard S. Sutton
  3. Peter Stone
  4. Hado van Hasselt
  5. J. Urgen Schmidhuber
  6. Satinder Singh
  7. Marc G. Bellemare
  8. Kavosh Asadi
  9. Sergey Levine
  10. Yoshua Bengio

Papers from Gavin Adrian Rummery's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Reinforcement Learning: An Introduction
  5. Reinforcement Learning for Robots Using Neural Networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Learning internal representations by error propagation
  9. Dynamic Programming: Deterministic and Stochastic Models
  10. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms

Their papers