Daniel R. Melamed

Management Science and Operations Research · 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 Daniel R. Melamed trusts

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

  1. J. Langford (in Management Science and Operations Research)
  2. Lihong Li (in Management Science and Operations Research)

Papers from Daniel R. Melamed's perspective

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

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