Depends on what you mean by faster. Do you mean "time to solution" or "time to inference"? I think there are also more factors to take into consideration when considering the merit of the method e.g. performance, robustness, ability to handle non-linearity, ability to solve the full online problem etc.
When all these factors are taken into account, I have encountered situations where Deep RL performed better.
There are also very public examples of this e.g. Google's data center cooling [0] and competitive sailing [1].
When all these factors are taken into account, I have encountered situations where Deep RL performed better.
There are also very public examples of this e.g. Google's data center cooling [0] and competitive sailing [1].
[0] https://www.technologyreview.com/2018/08/17/140987/google-ju... [1] https://www.mckinsey.com/business-functions/mckinsey-digital...