Jason McFall

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jason McFall trusts overall

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

  1. Richard S. Sutton

Papers from Jason McFall's perspective

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

  1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  2. Reinforcement Learning: An Introduction
  3. Planning and Acting in Partially Observable Stochastic Domains
  4. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  5. Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta
  6. An Introduction to Reinforcement Learning
  7. Learning to predict by the methods of temporal differences
  8. Local Gain Adaptation in Stochastic Gradient Descent
  9. Distributed dynamic programming
  10. Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine

Their papers