Decentralized partially observable Markov decision process (DEC-POMDP) is an approach to model multi-robot decision making problems under uncertainty. Since it is NEXP-complete the...
We propose a method for efficient solution of elliptic problems with multiscale features and randomly perturbed coefficients. We use the multiscale finite element method (MsFEM) as...
This paper describes the development and application of a piece of engineering software that provides a Problem Solving Environment (PSE) capable of launching, and interfacing wit...
C. E. Goodyer, Martin Berzins, Peter K. Jimack, L....
Factored planning methods aim to exploit locality to efficiently solve large but "loosely coupled" planning problems by computing solutions locally and propagating limit...
Eric Fabre, Loig Jezequel, Patrik Haslum, Sylvie T...
Abstract. We investigate the computational capabilities of probabilistic cellular automata by means of the density classification problem. We find that a specific probabilistic ...