Dealing with temporality on actions presents an important challenge to AI planning. Unlike Graphplan-based planners which alternate levels of propositions and actions in a regular ...
Antonio Garrido Tejero, Eva Onaindia, Federico Bar...
Abstract. AI planning has featured in a number of Interactive Storytelling prototypes: since narratives can be naturally modelled as a sequence of actions it has been possible to e...
Abstract— To compute collision-free and dynamicallyfeasibile trajectories that satisfy high-level specifications given in a planning-domain definition language, this paper prop...
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people ("workers") as an open call (e.g., on Amazon's Me...
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...