# How to manage 'action churn rates' in multi-agent systems?

I am designing a simple multi-agent system in which the agents' action space is represented as a Markov chain, defining how likely an agent is to perform an action and to switch between those actions.

My concern is that agents would switch between actions/tasks too frequently instead of sticking to a selected action for some time.