Didier Roy

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #31,021 of 35,345 by trust here, #29,412 by citations
• Reinforcement Learning — 8 citations into it
• Management Science and Operations Research — 6 citations into it; #10,431 of 11,946 by trust here, #8,906 by citations

Whom Didier Roy trusts overall

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

1. Manuel Lopes
2. Pierre-Yves Oudeyer
3. Ryan Shaun Joazeiro de Baker
4. Hao Cen
5. Albert T. Corbett
6. J. Urgen Schmidhuber

Who trusts Didier Roy overall

1. Yaqian Zhang
2. Alex Graves

Papers from Didier Roy's perspective

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

1. Active Learning Literature Survey
2. Knowledge tracing: Modeling the acquisition of procedural knowledge (User modeling and user-adapted interaction)
3. A contextual-bandit approach to personalized news article recommendation
4. Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions.
5. Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement (International Conference on Intelligent Tutoring Systems)
6. On the complexity of teaching
7. Optimal Artificial Curiosity, Creativity, Music, and the Fine Arts
8. Circos: an information aesthetic for comparative genomics. (Genome Research)
9. Intrinsically Motivated Learning in Natural and Artificial Systems
10. The strategic student approach for life-long exploration and learning

Their papers

• Multi-Armed Bandits for Intelligent Tutoring Systems (2013) — 154 citations