Silvia Richter

Artificial Intelligence · 2006–2010

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Silvia Richter trusts overall

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

  1. Malte Helmert
  2. Blai Bonet
  3. Jörg Hoffmann
  4. Eric A. Hansen
  5. Marco A. Wiering
  6. Jan Peters
  7. Alfonso Emilio Gerevini
  8. Hector Geffner
  9. Bernhard Nebel
  10. R. Zhou

Who trusts Silvia Richter overall

  1. Jussi Rintanen
  2. Ivo Grondman
  3. Christer Bäckström
  4. Nir Lipovetzky
  5. Edward Groshev
  6. Jan Peters
  7. Hector Geffner
  8. Miquel Ramírez
  9. Peter Jonsson
  10. Aviv Tamar

Papers from Silvia Richter's perspective

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

  1. Planning as heuristic search (Artificial Intelligence)
  2. The Fast Downward Planning System
  3. ImageNet classification with deep convolutional neural networks
  4. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  5. The FF Planning System: Fast Plan Generation Through Heuristic Search
  6. Reinforcement Learning: An Introduction
  7. Gradient-based learning applied to document recognition
  8. A Natural Policy Gradient
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains

Their papers