Ari Pakman

Reinforcement Learning · 2015

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Ari Pakman trusts overall

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

  1. E. Todorov
  2. Csaba Szepesvari
  3. Richard S. Sutton
  4. Mohammad Gheshlaghi Azar
  5. Jan Peters
  6. Hado van Hasselt
  7. Susanne Still
  8. Michel Tokic
  9. George H. John
  10. Andrew Barto

Who trusts Ari Pakman overall

  1. Tuomas Haarnoja
  2. Ofir Nachum
  3. Bo Dai
  4. Kavosh Asadi
  5. Pieter Abbeel
  6. Sergey Levine
  7. Matthieu Geist
  8. Lihong Li
  9. Brendan O'Donoghue
  10. Mohammad Norouzi

Papers from Ari Pakman's perspective

Ordered by how strongly the researchers Ari Pakman 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Human-level control through deep reinforcement learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers