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I'm a game designer and developer with 11 years of gamedev experience and decent understanding of ML (couple of online courses, nothing serious). I don't see ho

I'm a game designer and developer with 11 years of gamedev experience and decent understanding of ML (couple of online courses, nothing serious). I don't see how using ML for AI would be benificial in any way for any games that I've worked on. ML makes AI stronger and makes it easer for it to beat players, but as a game designer, it's never my goal. My goal is to make it lose in competitive, interesting, but most importantly, understandable way: I want players to gradually learn patterns behind AI behaviour, understand them and subvert them. May be it's because my experience is more about simpler and more action-focused games, and in 4x straregies things are different, of course - it's just my two cents.

formalsystem 8y ago
Thank you for writing this. I definitely agree you need to build something fun first. For more action focused games the same techniques are extremely useful to learn advanced locomotion if you don't have access to a proper animation file. E.g: given the movement for a 7 legged bug can you learn the movement for an 8 legged bug and experiments have shown that yes this is indeed the case. On the more strategic front, Yuri will make it easy for you to explore difficulty gradients so you can just change a difficulty parameter and play the game yourself as opposed to rewriting the entire behavior for your AIs. The pitch on the website does seem to target strategy games more and that reflects my personal preference as a strategy gamer. However, the techniques are general enough that I believe game designers will find it may just take a bit longer for some of the more creative applications to become more obvious.