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ICAPS 2014

Non-Deterministic Planning With Conditional Effects

Conference Paper Short Papers Artificial Intelligence ยท Automated Planning and Scheduling

Abstract

Recent advances in fully observable non-deterministic (FOND) planning have enabled new techniques for various applications, such as behaviour composition, among others. One key limitation of modern FOND planners is their lack of native support for conditional effects. In this paper we describe an extension to PRP, the current state of the art in FOND planning, that supports the generation of policies for domains with conditional effects and non-determinism. We present core modifications to the PRP planner for this enhanced functionality without sacrificing soundness and completeness. Additionally, we demonstrate the planner's capabilities on a variety of benchmarks that include actions with both conditional effects and non-deterministic outcomes. The resulting planner opens the door to models of greater expressivity, and does so without affecting PRP's efficiency.

Authors

Keywords

  • non-deterministic planning
  • strong cyclic planning
  • FOND
  • conditional effects
  • state relevance

Context

Venue
International Conference on Automated Planning and Scheduling
Archive span
1990-2024
Indexed papers
1573
Paper id
850173402437553401
v2026.09.13