Hanna M. Pasula

Reinforcement Learning · 2002–2007

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanna M. Pasula trusts overall

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

  1. Martin L. Puterman
  2. Michael Kearns
  3. Andrew McCallum
  4. Walter R. Gilks
  5. R. Fikes
  6. Xi-Ren Cao
  7. Yishay Mansour
  8. Kamal Nigam
  9. Sylvia Richardson
  10. Andrew Y. Ng

Who trusts Hanna M. Pasula overall

  1. William W. Cohen
  2. Mikhail Bilenko
  3. Pedro M. Domingos
  4. Stuart J. Russell
  5. Hui Han
  6. Hoifung Poon
  7. Parag Singla
  8. Pradeep Ravikumar
  9. Martijn van Otterlo
  10. Vibhor Rastogi

Papers from Hanna M. Pasula's perspective

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

  1. A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
  2. Markov logic networks
  3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  4. Learning the structure of Markov logic networks (International Conference on Machine Learning)
  5. Markov Chain Monte Carlo in Practice
  6. Symbolic Dynamic Programming for First-Order MDPs
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Efficient clustering of high-dimensional data sets with application to reference matching (Knowledge Discovery and Data Mining)
  9. ImageNet classification with deep convolutional neural networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers