David Hsu

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 David Hsu trusts overall

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

1. Stephen W. Carden

Papers from David Hsu's perspective

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

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

Their papers

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