Contributions on complexity bounds for Deterministic Partially Observed Markov Decision Process

Cyrille Vessaire, Jean-Philippe Chancelier, Michel de Lara +2

Markov Decision Processes (Mdps) form a versatile framework used to model a wide range of optimization problems. The Mdp model consists of sets of states, actions, time steps, rewa…