Equilibrium in misspecified Markov decision processes

We provide an equilibrium framework for modeling the behavior of agent who holds a simplified view dynamic optimization problem. The faces Markov decision process, where transition probability function determines evolution state variable as previous and agent's action. is uncertain about true has prior over set possible functions; this reflects (possibly simplified) her environment may not contain function. define concept conditions under which it characterizes steady?state when updates beliefs using Bayes' rule.