Predictive representations can link model-based reinforcement learning to model-free mechanisms
Humans and animals are capable of evaluating actions by considering their long-run future rewards through a process described using model-based reinforcement learning (RL) algorithms. The mechanisms by which neural circuits perform the computations prescribed by model-based RL remain largely unknown...
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Veröffentlicht in: | PLoS computational biology 2017-09, Vol.13 (9), p.e1005768-e1005768 |
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