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Analyzing human's continuous learning ability with the reflection cost

机译：用反射成本分析人类持续学习能力

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This paper reports our latest experimental results on analyzing human's continuous learning ability with the reflection cost. To fill in the missing piece of reinforcement learning framework for the learning robot, we focus on two human mental learning processes, awareness as pre-learning process and reflection as post-learning process. To observe mental learning processes of a human, we propose a new method for visualizing them by the reflection subtask with invisible mazes. In our previous work, there is a strong negative correlation between the number of continuous learning stages and the reflection cost. It suggests that the continuous learner performs a very good job of the reflection subtask. To examine the reason why the non-continuous learner stops learning the task, we analyze the learner's performance of both the main learning task by achievement cost and the reflection subtask by reflection cost in each learning stage. As the experimental results, the reflection cost of the continuous learner is stable during the learning stages as compared to non-continuous learners. It suggests that the continuous learner can perform the reflection subtask in a certain amount of time, even though it becomes more difficult as the learning stage progressed.
机译：本文报告了我们最新的实验结果，以通过反射成本分析人类的持续学习能力。要填补学习机器人的缺失的加固学习框架，我们专注于两个人类精神学学习过程，认识作为预学过程和后学后过程的反思。要观察人类的心理学习过程，我们提出了一种用隐形迷宫的反射子任务来可视化它们的新方法。在我们以前的工作中，连续学习阶段的数量和反射成本之间存在强烈的负相关性。它表明，连续学习者的反射子任务执行非常好。要检查非连续学习者停止学习任务的原因，我们通过每种学习阶段的反射成本分析了学习者的主要学习任务的性能和反射子任务。作为实验结果，与非连续学习者相比，在学习阶段期间，连续学习者的反射成本是稳定的。它表明，连续学习者可以在一定时间内执行反射子批次，即使在学习阶段进展时变得更加困难。

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