title: Reinforcement learning with Marr.
abstract: To many, the poster child for David Marr's famous three levels of scientific inquiry is reinforcement learning-a computational theory of reward optimization, which readily prescribes algorithmic solutions that evidence striking resemblance to signals found in the brain, suggesting a straightforward neural implementation. Here we review questions that remain open at each level of analysis, concluding that the path forward to their resolution calls for inspiration across levels, rather than a focus on mutual constraints.
authors.affiliation: Psychology Department & Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, 08540.
authors.forename: Yael
authors.initials: Y
authors.lastname: Niv
authors.affiliation: Psychology Department & Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, 08540.
authors.forename: Angela
authors.initials: A
authors.lastname: Langdon