Alborz Geramifard

Reinforcement Learning · 2008–2025

A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Alborz Geramifard trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Shimon Whiteson
  4. Lihong Li
  5. Ronald E. Parr
  6. Leemon C. Baird III
  7. Justin A. Boyan
  8. Andrew W. Moore
  9. Geoffrey E. Hinton
  10. Philipp W. Keller

Who trusts Alborz Geramifard overall

  1. Amir-massoud Farahmand
  2. Christoph Dann
  3. Jonathan Ho
  4. Kavosh Asadi
  5. Erik Talvitie
  6. André Barreto
  7. Tom Schaul
  8. Joshua Mason Joseph
  9. Pablo Samuel Castro
  10. Abhinav Verma

Papers from Alborz Geramifard's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Reinforcement Learning: An Introduction
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers