本文探讨了机器学习中几个关键议题：连续状态的离散化处理、维度灾难现象及其影响、大规模行动空间与状态空间的处理难度比较、随机模型与学习型模型的区别，以及倒立钟摆问题这一经典强化学习案例。
机器学习 lesson 17
1. continuous states? 离散化
2. curse of dimensionality
The curse of dimensionality refers to various phenomena that arise when analyzing and organizing high-dimensional spaces (often with hundreds or thousands of dimensions) that do not occur in low-dimensional settings such as the physical space commonly modeled with just three dimensions.
3. large action is not harder than large state
4.stochastic model vs. learn one
5. example: inverted pendulum problem 倒立钟摆问题
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