Ye Wang

Reinforcement Learning · with Wang · 2013

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

Subfields

• Reinforcement Learning — 6 citations into it

Whom Ye Wang trusts overall

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

1. Stephen W. Carden

Papers from Ye Wang's perspective

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

1. An Introduction to Reinforcement Learning
2. Distribution of the product confidence limits for the indirect effect: Program PRODCLIN (Behavior Research Methods)
3. Power laws, Pareto distributions and Zipf's law
4. The Elements of Statistical Learning
5. On Bayesian Upper Confidence Bounds for Bandit Problems
6. Markov Decision Processes: Discrete Stochastic Dynamic Programming
7. Near-Optimal Reinforcement Learning in Polynomial Time
8. Asymptotically efficient adaptive allocation rules
9. Reinforcement Learning: An Introduction
10. Some aspects of the sequential design of experiments

Their papers

• Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach (2013) — 120 citations