Gal Oshri

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 Gal Oshri 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 Gal Oshri's perspective

Ordered by how strongly the researchers Gal Oshri 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. 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. Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
  9. Multi-armed Bandit Allocation Indices
  10. Algorithms for Reinforcement Learning

Their papers