On Mon, May 9, 2022, 8:05 AM Undiscussed Horrific Abuse, One Victim of Many <gmkarl@gmail.com> wrote:
To represent normal goal behavior with maximization, the
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This is all confused to me, but normally when we meet goals we don't influence things not related to the goal. This is not usually included in maximization, unless
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return function needs to not only be incredibly complex, but the return to be maximized were to include them, by maybe always being 1.0, I don't really know. also feed back to its own evaluation, in a way not
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Maybe this relates to not learning habits unrelated to the goal, that would influence other goals badly.
provided for in these libraries.
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But something different is thinking at this time. It is the role of a part of a mind to try to relate with the other parts. Improving this in a general way is likely known well to be important.
Daydreaming: I'm thinking of how in reality and normality, we have many many goals going at once (most of them "common sense" and/or "staying being a living human"). Similarly, I'm thinking of how with normal transformer models, one trains according to a loss rather than a reward.
I'm considering what if it were more interesting when an agent _fails_ to meet a goal. Its reward would usually be full, 1.0, but would multiply by losses when goals are not met.
This seems much nicer to me.