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Behavioral Evidence for Hierarchical Reinforcement Learning in Humans

Reinforcement learning computations in the brain (RL) are often thought to support only simple, slow and inflexible types of learning. In this talk, I will present recent behavioral and computational modeling work from my lab that shows that flexible and complex adaptation can be supported by biologically realistic RL computations.