This paper describes SRIPPs, structured reactive image processing plans, that are tailored for the needs of autonomous service robots. SRIPPs are implemented on top of a modular, d...
Michael Beetz, Tom Arbuckle, Armin B. Cremers, M. ...
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
Kowalski and Sergot’s Event Calculus (EC) is a simple temporal formalism that, given a set of event occurrences, allows the derivation of the maximal validity intervals (MVIs) o...
This paper contributes a general approach to characterizing patterns of change in a spatio-temporal database. While there is a particular interest in modelling and querying how sp...
Nassima Djafri, Alvaro A. A. Fernandes, Norman W. ...
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...