Debbie M. Yee

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Debbie M. Yee trusts overall

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

  1. Richard S. Sutton
  2. David John Cameron MacKay
  3. J. Urgen Schmidhuber

Papers from Debbie M. Yee's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  3. Information Theory: 1948-1998 - Guest Editorial
  4. Information Theory, Inference, and Learning Algorithms
  5. An integrated theory of the mind.
  6. Recent Advances in Hierarchical Reinforcement Learning
  7. Finding Structure in Reinforcement Learning
  8. Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
  9. Learning Complex, Extended Sequences Using the Principle of History Compression
  10. Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective

Their papers