I’m a warehouse manager that’s been self learning ML for the past three months. This is my current project, an RL scheduling agent. Looking for feedback and any advice.

I’ve been trying to build meaningful AI and agentic tools around them, while also learning how RL works. This is my most recent (and live project)

https://github.com/jarmstrong158/Clark

Please, take a look. Clark is a warehouse workforce staffing/scheduling agent. Tell me where I’m being an absolute idiot. Tell me where things are good so I can do more of it. For example: I keep running into issues where instead of relying on complete reward shaping, for some of the more complex failures I’ve used structural action masks instead. While that works, is that a cop out for RL or is it common practice?

I’m trying to hone my skills for future employment, so I’m open to any and all advice.

Something small and trivial to you may be ground breaking to me, as I’m very new to ML. I began this journey 3 months ago, and coding 3 months prior to that. So all tips and tricks welcome. Places to learn more, videos to watch, anything. (I’m taking free IBM classes at the moment)

And yes. I use AI for my projects. I’m not here to hide that at all.