When several agents operate in a common environment, their plans may interfere so that the predicted outcome of each plan may be altered, even if it is composed of deterministic ac...
Abstract. Robots that share their workspace with humans, like household or service robots, need to take into account the presence of humans when planning their actions. In this pap...
Marcello Cirillo, Lars Karlsson, Alessandro Saffio...
We address the problem of verifying planning domains as used in model-based planning, for example in space missions. We propose a methodology for testing flight rules of planning...
Transportation Research At McGill (TRAM) is a research group of researchers, faculty members and students whom their work is mainly directed towards conducting research in the tran...
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...