Probabilistic majorization of partially observable markov decision processes Universiteit Gent
Markov Decision Processes (MDPs) are wielded by the Reinforcement Learning and control community as a framework to bestow artificial agents with the ability to make autonomous decisions. Control as Inference (CaI) is a tangent research direction that aims to recast optimal decision making as an instance of probabilistic inference, with the dual hope to incite exploration and simplify calculations. Active Inference (AIF) is a sibling theory ...