L. Victor Allis

1994

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Whom L. Victor Allis trusts overall

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

  1. Arthur L. Samuel
  2. Judea Pearl
  3. Edward H. Shortliffe
  4. G. Tesauro

Who trusts L. Victor Allis overall

  1. Matthew Lai
  2. Rémi Coulom
  3. David Silver
  4. Matej Moravcík
  5. Nees Jan van Eck
  6. Kaiqing Zhang
  7. Michael H. Bowling
  8. Andrea Soltoggio
  9. Christopher Krauss
  10. Neil Burch

Papers from L. Victor Allis's perspective

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

  1. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  2. Learning to reinforcement learn
  3. Apprenticeship learning via inverse reinforcement learning
  4. Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach
  5. Is Learning The n-th Thing Any Easier Than Learning The First?
  6. Human-level concept learning through probabilistic program induction
  7. Bounds on Treatment Effects from Studies with Imperfect Compliance
  8. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
  9. Causality : Models , Reasoning , and Inference
  10. Direct and Indirect Causal Effects via Potential Outcomes *

Their papers