Abstract

David Hume’s skeptical solution to the problem of induction was grounded in his belief that we learn by means of custom . We consider here how a form of reinforcement learning like custom may allow an agent to learn how to learn in other ways as well. Specifically, an agent may learn by simple reinforcement to adopt new forms of learning that work better than simple reinforcement in the context of specific tasks . We will consider how such a bootstrapping process may lead to a system that includes trial-and-error forms of learning like win-stay/lose-shift, probe and adjust, and simple reinforcement itself together with higher-rationality inferential tools.

中文翻译：

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休谟学习（如何学习）

摘要

大卫·休谟对归纳问题的怀疑性解决方案是基于他的信念，即我们通过习惯来学习。我们在这里考虑像定制这样的强化学习形式如何允许代理学习如何以其他方式学习。具体来说，代理可以通过简单的强化来学习，以采用新的学习形式，在特定任务的背景下，这种学习形式比简单的强化效果更好。我们将考虑这样的引导过程如何导致一个系统，其中包括试错形式的学习，如赢-留/输-转移、探索和调整，以及简单的强化本身和更高理性的推理工具。