Journal
CURRENT OPINION IN BEHAVIORAL SCIENCES
Volume 11, Issue -, Pages 67-73Publisher
ELSEVIER
DOI: 10.1016/j.cobeha.2016.04.005
Keywords
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Funding
- Human Frontier Science Program Organization
- NIMH [R01MH098861]
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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.
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