Abstract We consider mean-field control problems in discrete time with discounted reward, infinite horizon and compact state action space. The existence of optimal policies is shown the limiting problem derived when number individuals tends to infinity. Moreover, we average reward show that policy this limit $$\varepsilon $$ ε</m...

Markov decision processes (MDPs) have found success in many application areas that involve sequential making under uncertainty, including the evaluation and design of treatment screening protocols for medical making. However, data used to parameterize model can influence what policies are recommended, multiple competing sources common areas, medicine. In this article, we introduce Multi-model p...