2 papers
cs.AI2021
CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem
Daniela Kuinchtner, Afonso Sales, Felipe Meneguzzi
Markov Decision Process (MDP) is the underlying model for optimal planning for decision-theoretic agents in stochastic environments. Although much research focuses on solving MDP p…
cs.AI2021
Inferring Agents Preferences as Priors for Probabilistic Goal Recognition
Kin Max Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal recognition have leveraged planning landmarks to achieve high-accuracy with low runtime cost. These approaches, however, lack a probabilistic interpretati…