“A year before you first met your current boyfriend (or first saw him, or first become aware of his existence), did you already like him? Did you already think he was cute?” I predict that they will say “no”, and maybe even give you a funny look.
Okay, now I get the point of “neither like nor dislike” in your original statement.
I was originally thinking of sth as follows: “A year before you met your current boyfriend, would you have thought he was cute, if he was your type?”. But “your type” requires seeing them to get a reference point of if they belong in that class or not. So there’s a circular statement of my own, straightened out, so you had a good point here.
That said, I’m surprised that you don’t think AlphaZero (for example) has “strategic behavior”. Maybe I’m not sure what you mean by “strategic behavior”.
I would say the strategic behavior AlphaZero exhibits is weak (still incredible, specifically with the kind of weird h4 luft lines that the latest supercomputers show). I was thinking of a stronger version dealing with multi-agent environments, continuous state/action spaces, and/or multi-objective reward functions. That said, its seems to me that a different problem has to be solved to get the solution to this.
Okay, now I get the point of “neither like nor dislike” in your original statement.
I was originally thinking of sth as follows: “A year before you met your current boyfriend, would you have thought he was cute, if he was your type?”. But “your type” requires seeing them to get a reference point of if they belong in that class or not. So there’s a circular statement of my own, straightened out, so you had a good point here.
I would say the strategic behavior AlphaZero exhibits is weak (still incredible, specifically with the kind of weird h4 luft lines that the latest supercomputers show). I was thinking of a stronger version dealing with multi-agent environments, continuous state/action spaces, and/or multi-objective reward functions. That said, its seems to me that a different problem has to be solved to get the solution to this.