The part I keep coming back to is accounting. A person learns from one bad allocation and a long queue wait. An agent might retry with double the memory every time a run fails, which looks fine from its side and costly for everyone else sharing the machine. Curious whether the design you and Geoffrey talked through gives each agent its own budget at the scheduler, or leaves that limit to the researcher steering it.