רונן ברפמן

אקדמי בכיר

Planning for LTLF/LDLF goals in non-Markovian fully observable nondeterministic domains

Ronen I. Brafman, Giuseppe De Giacomo

In this paper, we investigate non-Markovian Nondeterministic Fully Observable Planning Domains (NMFONDs), variants of Nondeterministic Fully Observable Planning Domains (FONDs) where the next state is determined by the full history leading to the current state. In particular, we introduce TFONDs which are NMFONDs where conditions on the history are succinctly and declaratively specified using the linear-time temporal logic on finite traces LTLf and its extension LDLf. We provide algorithms for planning in TFONDs for general LTLf/LDLf goals, and establish tight complexity bounds w.r.t. the domain representation and the goal, separately. We also show that TFONDs are able to capture all NMFONDs in which the dependency on the history is “finite state”. Finally, we show that TFONDs also capture Partially Observable Nondeterministic Planning Domains (PONDs), but without referring to unobservable variables.

שפת פרסום אנגלית
דפים 1602-1608
סטטוס פרסום פורסם - 01.01.2019

ASJC Scopus subject areas

Artificial Intelligence
גישה למסמך
10.24963/ijcai.2019/222
קבצים וקישורים אחרים
Link to publication in Scopus