We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
In context-aware route planning, a set of agents has to plan routes on a common infrastructure and each agent has to plan a conflict-free route from a source to a destination wit...
Adriaan ter Mors, Jeroen van Belle, Cees Witteveen
Planning the next release in software release planning addresses the problem of assigning features to the next release such that technical, resource, risk, and budget constraints ...
Anas Jadallah, Matthias Galster, Mahmood Moussavi,...