Michele Colledanchise

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michele Colledanchise trusts overall

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

  1. Nils J. Nilsson
  2. Andrew Barto
  3. Richard S. Sutton
  4. Leslie Pack Kaelbling
  5. Zhiwei Fu
  6. Sridhar Mahadevan
  7. Doina Precup
  8. Tomas Lozano-Perez
  9. William J. Stewart
  10. Satinder Singh

Papers from Michele Colledanchise's perspective

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

  1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  2. Reinforcement Learning: An Introduction
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. Recent Advances in Hierarchical Reinforcement Learning
  7. Dynamic Programming and Markov Processes
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Residual Algorithms: Reinforcement Learning with Function Approximation

Their papers