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Analyzing human's continuous learning ability with the reflection cost

机译：用反射成本分析人的持续学习能力

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摘要

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，它以反射成本分析了人类的持续学习能力。为了填补学习机器人缺少的强化学习框架，我们集中在两个人的心理学习过程上，即意识是学习前的过程，而反思是学习后的过程。为了观察人类的心理学习过程，我们提出了一种新方法，通过带有隐形迷宫的反射子任务将其可视化。在我们以前的工作中，连续学习阶段的数量与反射成本之间存在很强的负相关性。这表明持续学习者在反射子任务方面做得很好。为了研究非连续学习者停止学习任务的原因，我们分析了学习者在每个学习阶段的主要学习任务（按成就成本）和反射子任务（根据反射成本）的表现。作为实验结果，与非连续学习者相比，连续学习者的反射成本在学习阶段是稳定的。这表明连续学习者可以在一定的时间内执行反射子任务，即使随着学习阶段的进行而变得更加困难。

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