Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task

Fumihiko Ishida, Takahiro Sasaki, Yutaka Sakaguchi, Hiroyuki Shimai. Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task. Neurocomputing, 72(7-9):1979-1984, 2009. [doi]

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