Tech Corner

Reinforcement Learning, Part 5: Overcoming the Practical Challenges of Reinforcement Learning

In this post, we are going to address a few possibly non-obvious problems with RL and provide some ways to mitigate them. Even if there are not straightforward ways to address some of the challenges that you will face, at the very least it will get you thinking about them.  

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Modularity – break it down to go big!

End of month profit predictions are difficult to foresee (especially for individual products of interest) but are invaluable to a modern business’s success and growth. How does one make these predictions or even conceptualise a high-level approach? A once off, unique solution might solve the problem this time, but they do not scale well, leaving the problem to arise again next month.

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