本文深入探讨了机器学习中维度灾难现象及其影响，同时介绍了如何通过离散化处理连续状态变量，以提高模型的效率与准确性。重点案例包括倒立钟摆问题的应用。
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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