It has been demonstrated that ML can be used to produce superhuman SSBM agents, e.g. the Phillip project. At some point, I would like to try training my own ML agent with some tweaks on the Phillip methodology. I am a hobbyist programmer and have very little ML experience. I will be relying almost entirely on existing resources and LLMs to guide me through the process.

After resolution, I will conduct a best-of-five set (under the competitive ruleset at the time) against the strongest agent I have produced (if any).

Resolves to YES if I lose the Bo5 set.

Resolves to NO otherwise.