Might be. Maybe that agent’s utility function is actually bounded at 1 (it’s not trying to maximize, after all). Perhaps it wants 100 utility, but already has firm plans to get the other 99. Maybe it chose a value at random from the range of all positive real numbers (distributed such that the probability of choosing X grows proportional to X) and pre-committed to the results, thus guaranteeing a stopping condition with unbounded expected return. Since it was missing out on unbounded utility in any case, getting literally any is better than none, but the difference between x and y is not really interesting.
(humorously) Maybe it just has better things to do than measuring its *ahem* stopping function against the other agents.
Might be. Maybe that agent’s utility function is actually bounded at 1 (it’s not trying to maximize, after all). Perhaps it wants 100 utility, but already has firm plans to get the other 99. Maybe it chose a value at random from the range of all positive real numbers (distributed such that the probability of choosing X grows proportional to X) and pre-committed to the results, thus guaranteeing a stopping condition with unbounded expected return. Since it was missing out on unbounded utility in any case, getting literally any is better than none, but the difference between x and y is not really interesting.
(humorously) Maybe it just has better things to do than measuring its *ahem* stopping function against the other agents.