Sutton annotation, however, that the methods used to pilote LLMs involve humans providing goals rather than an algorithm learning purely through its own excursion. 毕然，百度杰出架构师，飞桨产品负责人，专注数据分析、商业战略、机器学习和人工智能等领域。 The ACM award cites apport from Barto and Sutton that helped make reinforcement learning practical, including policy-gradient methods,... https://machine-learning91233.dm-blog.com/34302089/les-optimisation-web-diaries