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  1. Star-topology decoupled state space search.Daniel Gnad & Jörg Hoffmann - 2018 - Artificial Intelligence 257 (C):24-60.
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  • Red–black planning: A new systematic approach to partial delete relaxation.Carmel Domshlak, Jörg Hoffmann & Michael Katz - 2015 - Artificial Intelligence 221 (C):73-114.
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  • State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning.Daniel Bryce, William Cushing & Subbarao Kambhampati - 2011 - Artificial Intelligence 175 (3-4):848-889.
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  • The computational complexity of avoiding spurious states in state space abstraction.Sandra Zilles & Robert C. Holte - 2010 - Artificial Intelligence 174 (14):1072-1092.
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  • Learning from planner performance.Mark Roberts & Adele Howe - 2009 - Artificial Intelligence 173 (5-6):536-561.
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  • Heuristics for planning with penalties and rewards formulated in logic and computed through circuits.Blai Bonet & Héctor Geffner - 2008 - Artificial Intelligence 172 (12-13):1579-1604.
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  • Multiobjective heuristic state-space planning.Ioannis Refanidis & Ioannis Vlahavas - 2003 - Artificial Intelligence 145 (1-2):1-32.
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  • Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search.XuanLong Nguyen, Subbarao Kambhampati & Romeo S. Nigenda - 2002 - Artificial Intelligence 135 (1-2):73-123.
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  • Planning as heuristic search.Blai Bonet & Héctor Geffner - 2001 - Artificial Intelligence 129 (1-2):5-33.
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