Reinforcement learning in multidimensional environments relies on attention mechanisms.

@article{Niv2015ReinforcementLI,
  title={Reinforcement learning in multidimensional environments relies on attention mechanisms.},
  author={Yael Niv and Reka Daniel and Andra Geana and Samuel J Gershman and Yuan Chang Leong and Angela Radulescu and Robert C. Wilson},
  journal={The Journal of neuroscience : the official journal of the Society for Neuroscience},
  year={2015},
  volume={35 21},
  pages={8145-57}
}
In recent years, ideas from the computational field of reinforcement learning have revolutionized the study of learning in the brain, famously providing new, precise theories of how dopamine affects learning in the basal ganglia. However, reinforcement learning algorithms are notorious for not scaling well to multidimensional environments, as is required for real-world learning. We hypothesized that the brain naturally reduces the dimensionality of real-world problems to only those dimensions… CONTINUE READING
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