The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice

Simon Dunne; Arun DSouza; John P. ODoherty

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The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice

机译：在没有选择的情况下，在观察性奖励学习过程中涉及基于模型的学习信号，而不是没有模型的学习信号

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Dunne S, D'Souza A, O'Doherty JP. The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice. J Neurophysiol 115: 3195-3203, 2016. First published April 6, 2016; doi:10.1152/jn.00046.2016.—A major open question is whether computational strategies thought to be used during experiential learning, specifically model-based and model-free reinforcement learning, also support observational learning. Furthermore, the question of how observational learning occurs when observers must learn about the value of options from observing outcomes in the absence of choice has not been addressed. In the present study we used a multi-armed bandit task that encouraged human participants to employ both experiential and observational learning while they underwent functional magnetic resonance imaging (fMRI)

机译：Dunne S，D'Souza A，O'Doherty JP。在没有选择的情况下，观察式奖励学习过程中会涉及基于模型的学习信号，而非非模型的学习信号。 J Neurophysiol 115：3195-3203，2016。2016年4月6日首次发布; doi：10.1152 / jn.00046.2016。—一个主要的开放问题是，认为在体验式学习中使用的计算策略（特别是基于模型的和无模型的强化学习）是否也支持观察式学习。此外，还没有解决当观察者必须在没有选择的情况下通过观察结果来学习选择的价值时如何进行观察学习的问题。在本研究中，我们使用了多臂匪徒任务，该任务鼓励人类参与者在接受功能性磁共振成像（fMRI）的同时进行体验式学习和观察性学习。

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《Journal of Neurophysiology》 |2016年第6期|共9页
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Simon Dunne; Arun DSouza; John P. ODoherty;
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1. The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice [J] . Simon Dunne, Arun DSouza, John P. ODoherty Journal of Neurophysiology . 2016,第6期

机译：在没有选择的情况下，在观察性奖励学习过程中涉及基于模型的学习信号，而不是没有模型的学习信号
2. Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation [J] . Cognitive, affective & behavioral neuroscience . 2014,第2期

机译：基于模型和无模型的Pavlovian奖励学习：重估，修订和启示
3. Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning [J] . Arkady Konovalov, Ian Krajbich Nature Communications . 2016,第1期

机译：凝视数据揭示了基于模型和无模型强化学习的独特选择过程
4. EEG-based classification of learning strategies : Model-based and model-free reinforcement learning [C] . Dongjae Kim, Charles Weston, Sang Wan Lee 2018 6th International Conference on Brain-Computer Interface . 2018

机译：基于脑电图的学习策略分类：基于模型和无模型的强化学习
5. Learning Policies for Model-Based Reinforcement Learning Using Distributed Reward Formulation [D] . Agarwal, Nikhil. 2021

机译：使用分布式奖励制定学习基于模型的强化学习的政策
6. The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice [O] . Simon Dunne, Arun DSouza, John P. ODoherty -1

机译：在没有选择的情况下基于模型的学习信号而不是非模型的学习信号在观察性奖励学习中的参与
7. The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice [O] . Dunne, Simon, D'Souza, Arun, O'Doherty, John P. 2016

机译：在没有选择的情况下，基于模型的学习信号而不是非模型的学习信号在观察性奖励学习中的参与

The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice

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