The neuro-biological approach to RL "addresses
the question of how animals learn to predict which stimuli and actions
are associated with rewards and how they change their policies
accordingly." (Mahadevan and Kaelbling, 1996) The goal is to translate
understanding to a computational theory for reward learning.