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Hierarchical Task-Network Planner Based on Symbolic Model Checking

机译:基于符号模型检验的分层任务网络规划器

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Although several approaches have been developed for planning in non- deterministic domains, solving large planning problems is still quite difficult. In this work, we present a novel algorithm, called YoYo, for planning in non- deterministic domains under the assumption of full observability. This algorithm enables us to combine the power of search-control strategies as in Planning with Hierarchical Task Networks (HTNs) with techniques from the Planning via Symbolic Model-Checking (SMC). Our experimental evaluation confirms the potentialities of our approach, demonstrating that it combines the advantages of these paradigms.

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