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  1. Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models.Buser Say & Scott Sanner - 2020 - Artificial Intelligence 285 (C):103291.
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  • Deliberation for autonomous robots: A survey.Félix Ingrand & Malik Ghallab - 2017 - Artificial Intelligence 247 (C):10-44.
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  • Learning action models with minimal observability.Diego Aineto, Sergio Jiménez Celorrio & Eva Onaindia - 2019 - Artificial Intelligence 275 (C):104-137.
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  • Learning complex action models with quantifiers and logical implications.Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu & Lei Li - 2010 - Artificial Intelligence 174 (18):1540-1569.
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  • A domain-independent agent architecture for adaptive operation in evolving open worlds.Shiwali Mohan, Wiktor Piotrowski, Roni Stern, Sachin Grover, Sookyung Kim, Jacob Le, Yoni Sher & Johan de Kleer - 2024 - Artificial Intelligence 334 (C):104161.
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  • Robust planning with incomplete domain models.Tuan Nguyen, Sarath Sreedharan & Subbarao Kambhampati - 2017 - Artificial Intelligence 245 (C):134-161.
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  • Model-lite planning: Case-based vs. model-based approaches.Hankz Hankui Zhuo & Subbarao Kambhampati - 2017 - Artificial Intelligence 246 (C):1-21.
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  • Action-model acquisition for planning via transfer learning.Hankz Hankui Zhuo & Qiang Yang - 2014 - Artificial Intelligence 212 (C):80-103.
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  • Learning hierarchical task network domains from partially observed plan traces.Hankz Hankui Zhuo, Héctor Muñoz-Avila & Qiang Yang - 2014 - Artificial Intelligence 212 (C):134-157.
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