{"id":40416,"date":"2023-02-04T22:36:16","date_gmt":"2023-02-04T14:36:16","guid":{"rendered":"https:\/\/swarma.org\/?p=40416"},"modified":"2023-02-04T22:36:16","modified_gmt":"2023-02-04T14:36:16","slug":"%e5%a4%a7%e8%84%91%e4%b8%ad%e7%9a%84%e5%80%bc%e5%88%86%e5%b8%83%e5%bc%ba%e5%8c%96%e5%ad%a6%e4%b9%a0-%e5%91%a8%e6%97%a5%e7%9b%b4%e6%92%ad%c2%b7neuroai%e8%af%bb%e4%b9%a6%e4%bc%9a","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=40416","title":{"rendered":"\u5927\u8111\u4e2d\u7684\u503c\u5206\u5e03\u5f3a\u5316\u5b66\u4e60 | \u5468\u65e5\u76f4\u64ad\u00b7NeuroAI\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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    1. \u591a\u81c2\u8001\u864e\u673a<\/span><\/section>\n

    2. RW\u6a21\u578b\uff08Rescorla-Wagner Model\uff09<\/span><\/p>\n

    3. \u5956\u8d4f\u9884\u6d4b\u8bef\u5dee\u4e0e\u591a\u5df4\u80fa\u795e\u7ecf\u5143<\/span><\/p>\n

    4. \u76f8\u5173\u8111\u533a\uff1a\u8179\u4fa7\u88ab\u76d6\u533a\uff0c\u9ed1\u8d28\uff0c\u7eb9\u72b6\u4f53\uff0c\u7736\u989d\u53f6\u7b49<\/span><\/p>\n

    5. \u76f8\u5173\u7b97\u6cd5\uff1aTD-learning\uff0cQuantile Regression, Expectile Regression<\/span><\/p>\n


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    \u626b\u7801\u53c2\u4e0eNeuroAI\u8bfb\u4e66\u4f1a<\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u6210\u4e3aNeuroAI\u793e\u533a\u7684\u79cd\u5b50\u7528\u6237\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u4e0e\u4f01\u4e1a\u5b9e\u8df5\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u52a8NeuroAI\u793e\u533a\u7684\u53d1\u5c55\u3002<\/span><\/section>\n


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    \u672c\u6b21\u5206\u4eab\u6d89\u53ca\u65e0\u6a21\u578b\uff08model-free\uff09\u5f3a\u5316\u5b66\u4e60\uff0c\u5373\u4ece\u5956\u8d4f\u4e2d\u8fdb\u884c\u5b66\u4e60\u3002\u4f20\u7edf\u7684\u5f3a\u5316\u5b66\u4e60\u5c06\u5956\u8d4f\u8868\u793a\u4e3a\u5355\u4e00\u7684\u6807\u91cf\u503c\uff0c\u800c\u503c\u5206\u5e03\u7684\u5f3a\u5316\u5b66\u4e60\u53ef\u4ee5\u8868\u5f81\u6574\u4e2a\u5956\u8d4f\u5206\u5e03\uff0c\u7ee7\u800c\u4ece\u4e2d\u63d0\u53d6\u66f4\u52a0\u4e30\u5bcc\u7684\u4fe1\u606f\u5e2e\u52a9\u51b3\u7b56\u3002\u503c\u5206\u5e03\u7684\u5f3a\u5316\u5b66\u4e60\u4e0d\u4ec5\u63d0\u5347\u4e86\u7b97\u6cd5\u7684\u8868\u73b0\uff0c\u4e5f\u5728\u5927\u8111\u4e2d\u5b58\u5728\u76f8\u5e94\u7684\u8bc1\u636e\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u548c\u795e\u7ecf\u79d1\u5b66\u7684\u4ea4\u6d41\u63d0\u4f9b\u4e86\u65b0\u7684\u673a\u4f1a\u3002<\/span><\/section>\n


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    1.Dabney, W., Kurth-Nelson, Z., Uchida, N., Starkweather, C. K., Hassabis, D., Munos, R., & Botvinick, M. (2020). A distributional code for value in dopamine-based reinforcement learning. Nature, 577(7792), 671-675.<\/span><\/h3>\n

    Lowet, A. S., Zheng, Q., Matias, S., Drugowitsch, J., & Uchida, N. (2020). Distributional reinforcement learning in the brain. Trends in neurosciences, 43(12), 980-997<\/span><\/h3>\n

    Mavrin, B., Yao, H., Kong, L., Wu, K., & Yu, Y. (2019, May). Distributional reinforcement learning for efficient exploration. In International conference on machine learning (pp. 4424-4434). PMLR.<\/span><\/h3>\n

    Dabney, W., Rowland, M., Bellemare, M., & Munos, R. (2018, April). Distributional reinforcement learning with quantile regression. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).<\/span><\/h3>\n

    Schultz, W., Dayan, P., & Montague, P. R. (1997). A neural substrate of prediction and reward. Science, 275(5306), 1593-1599.<\/span><\/h3>\n

    Behrens, T. E., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. (2007). Learning the value of information in an uncertain world. Nature Neuroscience, 10(9), 1214-1221.<\/span><\/h3>\n
    https:\/\/github.com\/lynn0503\/distributional_Reinforcement_Learning\/<\/span><\/section>\n

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    \u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u591a\u4f4d\u8457\u540d\u5b66\u8005\u8fd1\u65e5\u53d1\u8868 NeuroAI \u767d\u76ae\u4e66\u8ba4\u4e3a\uff0c\u795e\u7ecf\u79d1\u5b66\u957f\u671f\u4ee5\u6765\u4e00\u76f4\u662f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u5c55\u7684\u91cd\u8981\u9a71\u52a8\u529b\uff0cNeuroAI \u9886\u57df\u7684\u57fa\u7840\u7814\u7a76\u5c06\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u7a0b\u3002\u6587\u7ae0\u53d1\u8868\u540e\u5f15\u53d1\u70ed\u8bae\uff1a\u795e\u7ecf\u79d1\u5b66\u662f\u5426\u63a8\u52a8\u4e86\u4eba\u5de5\u667a\u80fd\uff1f\u672a\u6765\u7684\u4eba\u5de5\u667a\u80fd\u662f\u5426\u9700\u8981\u795e\u7ecf\u79d1\u5b66\uff1f<\/span><\/section>\n

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    \n

    \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/p>\n

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