Stefan Stevšić

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Stevšić trusts overall

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

  1. Vikash Kumar
  2. E. Todorov
  3. Jonathan Ho
  4. Yunfei Bai
  5. Sergey Levine
  6. Brian D. Ziebart
  7. Markus Wulfmeier
  8. John Schulman
  9. Pieter Abbeel
  10. Greg Brockman

Papers from Stefan Stevšić's perspective

Ordered by how strongly the researchers Stefan Stevšić 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Human-level control through deep reinforcement learning

Their papers