Daniele Nardi

Artificial Intelligence · 2003–2016

A researcher in the Science corpus: 7 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Daniele Nardi trusts overall

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

  1. Lloyd S. Shapley
  2. Kevin M. Passino
  3. Andrea Omicini

Who trusts Daniele Nardi overall

  1. Boris Motik
  2. Fariba Sadri

Papers from Daniele Nardi's perspective

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

  1. Learning Continuous Control Policies by Stochastic Value Gradients
  2. Random Features for Large-Scale Kernel Machines
  3. PILCO: A Model-Based and Data-Efficient Approach to Policy Search
  4. Learning from Demonstration
  5. Autonomous helicopter control using reinforcement learning policy search methods
  6. Exploration and apprenticeship learning in reinforcement learning
  7. ImageNet classification with deep convolutional neural networks
  8. Robot learning from demonstration by constructing skill trees
  9. Iterative Linear Quadratic Regulator Design for Nonlinear Biological Movement Systems
  10. Gradient-based learning applied to document recognition

Their papers