Model-lite planning: case-based vs. model-based approaches

DOI10.1016/j.artint.2017.01.004zbMath1419.68102OpenAlexW2581044847MaRDI QIDQ2407874

Subbarao Kambhampati, Hankz Hankui Zhuo

Publication date: 6 October 2017

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2017.01.004

zbMATH Keywords

case-based planningAI planningaction model learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (4)

A constraint-based approach to learn temporal features on action models from multiple plans ⋮ Learning action models with minimal observability ⋮ Gradient-based mixed planning with symbolic and numeric action parameters ⋮ Unnamed Item

Uses Software

• SPADE
• TRAMP
• Prodigy
• PrefixSpan

Cites Work

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• Kernel functions for case-based planning
• Learning action models from plan examples using weighted MAX-SAT
• Macro-operators: A weak method for learning
• On the complexity of blocks-world planning
• Action-model acquisition for planning via transfer learning
• Learning hierarchical task network domains from partially observed plan traces
• Understanding planning with incomplete information and sensing
• Internal analogy in theorem proving
• Integrating planning and learning: the PRODIGY architecture
• SPADE: An efficient algorithm for mining frequent sequences
• A survey on case-based planning

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