Stephen Lee

Management Science and Operations Research · with Agarwal · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen Lee trusts overall

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

  1. J. Langford

Papers from Stephen Lee's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Doubly Robust Policy Evaluation and Learning
  3. A contextual-bandit approach to personalized news article recommendation
  4. The Nonstochastic Multiarmed Bandit Problem
  5. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
  6. Contextual Bandits with Linear Payoff Functions
  7. The Epoch-Greedy algorithm for contextual multi-armed bandits
  8. Multi-armed Bandit Allocation Indices
  9. Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
  10. Algorithms for Reinforcement Learning

Their papers