Pedro Sequeira

Reinforcement Learning · 2011

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pedro Sequeira trusts overall

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

  1. Andrew Barto
  2. Joscha Bach
  3. Satinder Singh
  4. Andrew W. Moore
  5. Richard S. Sutton
  6. Richard L. Lewis
  7. J. Urgen Schmidhuber
  8. Christopher G. Atkeson
  9. Özgür Simsek
  10. Jonathan Sorg

Papers from Pedro Sequeira's perspective

Ordered by how strongly the researchers Pedro Sequeira 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. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Prioritized sweeping: Reinforcement learning with less data and less time
  9. Where Do Rewards Come From
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers