Online reinforcement learning of state representation in recurrent network supported by the power of random feedback and biological constraints
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DOI: 10.1101/2024.08.22.609100
Abstract: Representation of external and internal states in the brain plays a critical role in enabling suitable behavior. Recent studies suggest that state representation and state value can be simultaneously learnt through Temporal-Difference-Reinforcement-Learning (TDRL) and Backpropagation-Through-Time… read more here.
Keywords: representation; state representation; random feedback; reinforcement learning ... See more keywords