When Does Model-Based Control Pay Off?

@inproceedings{Kool2016WhenDM,
  title={When Does Model-Based Control Pay Off?},
  author={Wouter Kool and Fiery Cushman and Samuel J Gershman},
  booktitle={PLoS Computational Biology},
  year={2016}
}
Many accounts of decision making and reinforcement learning posit the existence of two distinct systems that control choice: a fast, automatic system and a slow, deliberative system. Recent research formalizes this distinction by mapping these systems to "model-free" and "model-based" strategies in reinforcement learning. Model-free strategies are computationally cheap, but sometimes inaccurate, because action values can be accessed by inspecting a look-up table constructed through trial-and… CONTINUE READING
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