Current ongoing industry revolution demands more flexible products, including robots in household environments and medium-scale factories. Such robots should be able to adapt to new conditions and environments and be programmed with ease. As an example, let us suppose that there are robot manipulators working on an industrial production line and that they need to perform a new task. If these robots were hard coded, it could take days to adapt them to the new settings, which would stop production at the factory. Robots that non-expert humans could easily program would speed up the process considerably

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交互学习控制时态特征：从人类反馈中塑造政策和国家表示

当前正在进行的行业革命要求更灵活的产品，包括家庭环境和中型工厂中的机器人。这样的机器人应该能够适应新的条件和环境，并且易于编程。例如，让我们假设在工业生产线上工作的机器人操纵器需要执行新任务。如果对这些机器人进行了硬编码，则可能需要几天的时间才能使它们适应新的设置，这将在工厂停止生产。非专业人士可以轻松编程的机器人将大大加快该过程