My intuition about measuring optimisation power has been: put a bunch of optimisers in a room and see which one is left at the end. (Or if you prefer, which goal state the room is in at the end).
For this definition to make sense there has to be the hypothesis that the ranking system is robust—for agents with a similar rank it’s uncertain which will win, but if the ranks are vastly different then the larger number pretty much always wins.
I’m not certain whether this definition is useful if it’s single-agent environments that you’re interested in, however.
My intuition about measuring optimisation power has been: put a bunch of optimisers in a room and see which one is left at the end. (Or if you prefer, which goal state the room is in at the end).
For this definition to make sense there has to be the hypothesis that the ranking system is robust—for agents with a similar rank it’s uncertain which will win, but if the ranks are vastly different then the larger number pretty much always wins.
I’m not certain whether this definition is useful if it’s single-agent environments that you’re interested in, however.