Anthony Lee

Artificial Intelligence · with Korda · 2012

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Management Science and Operations Research — 10 citations into it
• Reinforcement Learning — 9 citations into it; #1,851 of 2,242 by trust here, #1,778 by citations

Whom Anthony Lee trusts overall

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

1. Richard S. Sutton
2. Peter Auer
3. T. L. Lai Andherbertrobbins
4. Lihong Li
5. Rajeev Agrawal
6. Nicolò Cesa-Bianchi
7. John C. Gittins
8. Andrew Barto
9. Aurélien Garivier
10. Olivier Chapelle

Who trusts Anthony Lee overall

1. Shipra Agrawal

Papers from Anthony Lee's perspective

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

1. Reinforcement Learning: An Introduction
2. Asymptotically Efficient Adaptive Allocation Rules
3. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
4. A contextual-bandit approach to personalized news article recommendation
5. Using Confidence Bounds for Exploitation-Exploration Trade-offs
6. Finite-time Analysis of the Multiarmed Bandit Problem
7. Sample mean based index policies by O(log n) regret for the multi-armed bandit problem
8. Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
9. Prediction, learning, and games
10. Introduction to Reinforcement Learning

Their papers

• Optimistic Bayesian Sampling in Contextual-Bandit Problems (2012) — 139 citations