Defeng Guo

Reinforcement Learning · 2017

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

Whom Defeng Guo trusts

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

  1. Stephen W. Carden (in Reinforcement Learning)

Papers from Defeng Guo's perspective

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

  1. Stable Function Approximation in Dynamic Programming
  2. Real-time bidding for online advertising: measurement and analysis (International Workshop on Data Mining for Online Advertising)
  3. Optimal real-time bidding for display advertising (Knowledge Discovery and Data Mining)
  4. Ad click prediction: a view from the trenches
  5. Generalization in Reinforcement Learning: Safely Approximating the Value Function
  6. An Introduction to Reinforcement Learning
  7. PAC model-free reinforcement learning
  8. Kernelized value function approximation for reinforcement learning
  9. Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine
  10. Et al

Their papers