Heinrich Küttler

Reinforcement Learning · 2016–2019

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

Subfields

Whom Heinrich Küttler trusts overall

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

  1. Volodymyr Mnih
  2. Marc G. Bellemare
  3. Richard S. Sutton
  4. David Silver
  5. Max Jaderberg
  6. Geoffrey E. Hinton
  7. Adam Paszke
  8. Diederik P. Kingma
  9. Sergey Levine
  10. Yavar Naddaf

Who trusts Heinrich Küttler overall

  1. Alexander Pan
  2. Sam Powers
  3. Heinrich Kuttler
  4. Jesse Mu
  5. Roberta Raileanu
  6. Kush Bhatia

Papers from Heinrich Küttler's perspective

Ordered by how strongly the researchers Heinrich Küttler 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. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. Asynchronous Methods for Deep Reinforcement Learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Human-level control through deep reinforcement learning
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Reinforcement Learning: An Introduction

Their papers