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Planning for Temporally Extended Goals based on alpha-CTL

Author(s):
dos Santos, Viviane Bonadia ; de Barros, Leliane Nunes ; de Menezes, Maria Viviane ; Pereira, Silvio do Lago
Total Authors: 4
Document type: Journal article
Source: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, AAMAS 2025; v. N/A, p. 3-pg., 2025-01-01.
Abstract

We present the PACTL-XR planner for FOND planning, a planner based on symbolic model checking and alpha-CTL logic. The experiments showthat our planner can efficiently find policies for complex planning goals, such extended reachability goals, and outperform the results of state-of-the-art planners in some domains. (AU)

FAPESP's process: 19/07665-4 - Center for Artificial Intelligence
Grantee:Fabio Gagliardi Cozman
Support Opportunities: Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program