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There are several ways to approach Reinforcement Learning, so I wanted to compare experiences. I am particularly interested in testing and automation. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Are there any settings, tools, or...

For Edge AI Devices, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is common mistakes. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...