Gradient-based learners care about one thing and one thing only: reducing their errors. The Smooth Markets paper studies how algorithms can “trade” in what matters to them — errors — by imposing a double-entry bookkeeping mechanism.
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The bookkeeping mechanism requires that interactions are pairwise zero-sum. It can be interpreted as a conservation law (“actions cause equal and opposite reactions”) or as analogous to monetary exchange (“my expense is your revenue”).
- Još 2 druga odgovora
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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thats not ai generated info for a start :) do u wanna know how i know ?
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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WE LOVE YOU DEEPMIND KEEP UP THE GOOD WORK!!!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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If we educate them to support a set of conditions or objectives for the entire system, would it not translate to the rest of the artificial agents? Than the system can keep organized so that major and minor amendments can ensure that the total systems on the same page.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Čini se da učitavanje traje već neko vrijeme.
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