Yi Wang

Reinforcement Learning · with Cheng · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Yi Wang trusts overall

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

1. Stephen W. Carden
2. Mark Newman
3. Emilie Kaufmann
4. David P. MacKinnon

Papers from Yi Wang's perspective

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

1. Information Theory: 1948-1998 - Guest Editorial
2. An Introduction to Variational Methods for Graphical Models
3. I and J
4. The Elements of Statistical Learning
5. Probabilistic reasoning in intelligent systems: Networks of plausible inference
6. Probabilistic reasoning in intelligent systems: Networks of plausible inference
7. An Introduction to Reinforcement Learning
8. Power laws, Pareto distributions and Zipf's law
9. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
10. Fast algorithm for detecting community structure in networks.

Their papers

• Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach (2013) — 120 citations
• A model-based approach to attributed graph clustering (2012) — 341 citations