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    Humans are learning agents that acquire social group representations from experience. Here, we discuss how to construct artificial agents capable of this feat. One approach, based on deep reinforcement learning, allows the necessary representations to self-organize. This minimizes the need for hand-engineering, improving robustness and scalability. It also enables "virtual neuroscience" research on the learned representations.

    Citation

    Joel Z Leibo, Alexander Sasha Vezhnevets, Maria K Eckstein, John P Agapiou, Edgar A Duéñez-Guzmán. Learning agents that acquire representations of social groups. The Behavioral and brain sciences. 2022 Jul 07;45:e111

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    PMID: 35796369

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