In our experiments with four well-known systems for solving partially observable planning problems (Contingent-FF, MBP, PKS, and POND), we were greatly surprised to find that they...
Ronald Alford, Ugur Kuter, Dana S. Nau, Elnatan Re...
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
We provide a reconstruction of Blum and Furst’s Graphplan algorithm, and use the reconstruction to extend and improve the original algorithm in several ways. In our reconstructi...
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...