Petar Kormushev

Reinforcement Learning · 2010–2017

A researcher in the Science corpus: 5 papers; trusts 68 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Petar Kormushev trusts overall

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

  1. Richard S. Sutton
  2. Stefan Schaal
  3. Aude Gemma Billard
  4. Sylvain Calinon
  5. Jan Peters
  6. Ronald J. Williams
  7. Heiko Hoffmann
  8. J. Urgen Schmidhuber
  9. Jens Kober
  10. Dimitri P. Bertsekas

Who trusts Petar Kormushev overall

  1. Seyed Reza Ahmadzadeh
  2. Alexandros Paraschos
  3. Gerhard Neumann
  4. Jan Peters
  5. Marc Peter Deisenroth
  6. Christian Daniel
  7. Hema Swetha Koppula
  8. Sonia Chernova
  9. Akihiko Yamaguchi
  10. Sergey Levine

Papers from Petar Kormushev's perspective

Ordered by how strongly the researchers Petar Kormushev 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers