AI seminar: Minimal sufficient explanations for factored Markov decision processes
Speaker: Omar Zia Khan
Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MDP by populating a set of domain-independent templates.