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PRP Rebooted: Advancing the State of the Art in FOND Planning

About

Fully Observable Non-Deterministic (FOND) planning is a variant of classical symbolic planning in which actions are nondeterministic, with an action's outcome known only upon execution. It is a popular planning paradigm with applications ranging from robot planning to dialogue-agent design and reactive synthesis. Over the last 20 years, a number of approaches to FOND planning have emerged. In this work, we establish a new state of the art, following in the footsteps of some of the most powerful FOND planners to date. Our planner, PR2, decisively outperforms the four leading FOND planners, at times by a large margin, in 17 of 18 domains that represent a comprehensive benchmark suite. Ablation studies demonstrate the impact of various techniques we introduce, with the largest improvement coming from our novel FOND-aware heuristic.

Christian Muise, Sheila A. McIlraith, J. Christopher Beck• 2023

Related benchmarks

TaskDatasetResultRank
FOND PlanningFOND Planning Domains Acrobatics, Beam-walk, Blocksworld, etc.
Intersection Ratio52
96
Robotic ManipulationMetaWorld Blocks Stationary
Success Rate99
9
Robotic ManipulationMetaWorld Colour Stationary
Success Rate61
9
Robotic ManipulationMetaWorld Blocks Noisy
Success Rate39
9
Robotic ManipulationMetaWorld Colour (Noisy)
Success Rate1
9
Robotic ManipulationMetaWorld Extended Suite Average
Success Rate25
9
Robotic ManipulationMetaWorld Gacha Stationary
Success Rate0.00e+0
9
Robotic ManipulationMetaWorld Gacha Noisy
Success Rate0.00e+0
9
Robotic ManipulationMetaWorld Factory Stationary
Success Rate0.00e+0
9
Robotic ManipulationMetaWorld Factory Noisy
Success Rate0.00e+0
9
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