- Gradient-based mixed planning with symbolic and numeric action parameters.Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan & Subbarao Kambhampati - 2022 - Artificial Intelligence 313 (C):103789.details
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Agent planning programs.Giuseppe De Giacomo, Alfonso Emilio Gerevini, Fabio Patrizi, Alessandro Saetti & Sebastian Sardina - 2016 - Artificial Intelligence 231 (C):64-106.details
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Planning as satisfiability: Heuristics.Jussi Rintanen - 2012 - Artificial Intelligence 193 (C):45-86.details
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SAT-based planning in complex domains: Concurrency, constraints and nondeterminism.Claudio Castellini, Enrico Giunchiglia & Armando Tacchella - 2003 - Artificial Intelligence 147 (1-2):85-117.details
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A logic programming approach to knowledge-state planning, II: The system.Thomas Eiter, Wolfgang Faber, Nicola Leone, Gerald Pfeifer & Axel Polleres - 2003 - Artificial Intelligence 144 (1-2):157-211.details
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Multiobjective heuristic state-space planning.Ioannis Refanidis & Ioannis Vlahavas - 2003 - Artificial Intelligence 145 (1-2):1-32.details
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Landmark-based approaches for goal recognition as planning.Ramon Fraga Pereira, Nir Oren & Felipe Meneguzzi - 2020 - Artificial Intelligence 279 (C):103217.details
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Long-distance mutual exclusion for planning.Yixin Chen, Ruoyun Huang, Zhao Xing & Weixiong Zhang - 2009 - Artificial Intelligence 173 (2):365-391.details
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Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners.Alfonso E. Gerevini, Patrik Haslum, Derek Long, Alessandro Saetti & Yannis Dimopoulos - 2009 - Artificial Intelligence 173 (5-6):619-668.details
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Task decomposition on abstract states, for planning under nondeterminism.Ugur Kuter, Dana Nau, Marco Pistore & Paolo Traverso - 2009 - Artificial Intelligence 173 (5-6):669-695.details
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Sequential Monte Carlo in reachability heuristics for probabilistic planning.Daniel Bryce, Subbarao Kambhampati & David E. Smith - 2008 - Artificial Intelligence 172 (6-7):685-715.details
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Conformant planning via heuristic forward search: A new approach.Jörg Hoffmann & Ronen I. Brafman - 2006 - Artificial Intelligence 170 (6-7):507-541.details
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Fuzzy rrDFCSP and planning.Ian Miguel & Qiang Shen - 2003 - Artificial Intelligence 148 (1-2):11-52.details
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Fast planning through planning graph analysis.Avrim L. Blum & Merrick L. Furst - 1997 - Artificial Intelligence 90 (1-2):281-300.details
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Planning and acting in partially observable stochastic domains.Leslie Pack Kaelbling, Michael L. Littman & Anthony R. Cassandra - 1998 - Artificial Intelligence 101 (1-2):99-134.details
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Extracting mutual exclusion invariants from lifted temporal planning domains.Sara Bernardini, Fabio Fagnani & David E. Smith - 2018 - Artificial Intelligence 258 (C):1-65.details
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Star-topology decoupled state space search.Daniel Gnad & Jörg Hoffmann - 2018 - Artificial Intelligence 257 (C):24-60.details
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An approach to efficient planning with numerical fluents and multi-criteria plan quality.Alfonso E. Gerevini, Alessandro Saetti & Ivan Serina - 2008 - Artificial Intelligence 172 (8-9):899-944.details
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Branching and pruning: An optimal temporal POCL planner based on constraint programming.Vincent Vidal & Héctor Geffner - 2006 - Artificial Intelligence 170 (3):298-335.details
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Constraint partitioning in penalty formulations for solving temporal planning problems.Benjamin W. Wah & Yixin Chen - 2006 - Artificial Intelligence 170 (3):187-231.details
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Using temporal logics to express search control knowledge for planning.Fahiem Bacchus & Froduald Kabanza - 2000 - Artificial Intelligence 116 (1-2):123-191.details
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Discovering hidden structure in factored MDPs.Andrey Kolobov, Mausam & Daniel S. Weld - 2012 - Artificial Intelligence 189 (C):19-47.details
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The factored policy-gradient planner.Olivier Buffet & Douglas Aberdeen - 2009 - Artificial Intelligence 173 (5-6):722-747.details
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Plan coordination by revision in collective agent based systems.Hans Tonino, André Bos, Mathijs de Weerdt & Cees Witteveen - 2002 - Artificial Intelligence 142 (2):121-145.details
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Remote Agent: to boldly go where no AI system has gone before.Nicola Muscettola, P. Pandurang Nayak, Barney Pell & Brian C. Williams - 1998 - Artificial Intelligence 103 (1-2):5-47.details
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State space search nogood learning: Online refinement of critical-path dead-end detectors in planning.Marcel Steinmetz & Jörg Hoffmann - 2017 - Artificial Intelligence 245 (C):1-37.details
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Multi-agent path finding with mutex propagation.Han Zhang, Jiaoyang Li, Pavel Surynek, T. K. Satish Kumar & Sven Koenig - 2022 - Artificial Intelligence 311 (C):103766.details
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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.details
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A Formal Characterisation of Hamblin’s Action-State Semantics.Chris Reed & Timothy J. Norman - 2007 - Journal of Philosophical Logic 36 (4):415-448.details
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On the relations between intelligent backtracking and failure-driven explanation-based learning in constraint satisfaction and planning.Subbarao Kambhampati - 1998 - Artificial Intelligence 105 (1-2):161-208.details
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Width-based search for multi agent privacy-preserving planning.Alfonso E. Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti & Ivan Serina - 2023 - Artificial Intelligence 318 (C):103883.details
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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.details
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Planning as heuristic search.Blai Bonet & Héctor Geffner - 2001 - Artificial Intelligence 129 (1-2):5-33.details
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Towards efficient universal planning: A randomized approach.Peter Jonsson, Patrik Haslum & Christer Bäckström - 2000 - Artificial Intelligence 117 (1):1-29.details
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(1 other version)The logical foundations of goal-regression planning in autonomous agents.John L. Pollock - 1998 - Artificial Intelligence 106 (2):267-334.details
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Representing and planning with interacting actions and privacy.Shashank Shekhar & Ronen I. Brafman - 2020 - Artificial Intelligence 278 (C):103200.details
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A heuristic search approach to planning with temporally extended preferences.Jorge A. Baier, Fahiem Bacchus & Sheila A. McIlraith - 2009 - Artificial Intelligence 173 (5-6):593-618.details
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Processes and continuous change in a SAT-based planner.Ji-Ae Shin & Ernest Davis - 2005 - Artificial Intelligence 166 (1-2):194-253.details
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Using genetic programming to learn and improve control knowledge.Ricardo Aler, Daniel Borrajo & Pedro Isasi - 2002 - Artificial Intelligence 141 (1-2):29-56.details
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Let's plan it deductively!W. Bibel - 1998 - Artificial Intelligence 103 (1-2):183-208.details
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Evaluating new options in the context of existing plans.John F. Horty & Martha E. Pollack - unknown - Artificial Intelligence 127 (2):199-220.details
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Planning as satisfiability: parallel plans and algorithms for plan search.Jussi Rintanen, Keijo Heljanko & Ilkka Niemelä - 2006 - Artificial Intelligence 170 (12-13):1031-1080.details
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Contingent planning under uncertainty via stochastic satisfiability.Stephen M. Majercik & Michael L. Littman - 2003 - Artificial Intelligence 147 (1-2):119-162.details
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Approximation of action theories and its application to conformant planning.Phan Huy Tu, Tran Cao Son, Michael Gelfond & A. Ricardo Morales - 2011 - Artificial Intelligence 175 (1):79-119.details
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Complexity results for standard benchmark domains in planning.Malte Helmert - 2003 - Artificial Intelligence 143 (2):219-262.details
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Learning from planner performance.Mark Roberts & Adele Howe - 2009 - Artificial Intelligence 173 (5-6):536-561.details
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Least commitment in Graphplan.Michel Cayrol, Pierre Régnier & Vincent Vidal - 2001 - Artificial Intelligence 130 (1):85-118.details
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Planning as constraint satisfaction: Solving the planning graph by compiling it into CSP.Minh Binh Do & Subbarao Kambhampati - 2001 - Artificial Intelligence 132 (2):151-182.details
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Reasoning with infinite stable models.Piero A. Bonatti - 2004 - Artificial Intelligence 156 (1):75-111.details
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Generating diverse plans to handle unknown and partially known user preferences.Tuan Anh Nguyen, Minh Do, Alfonso Emilio Gerevini, Ivan Serina, Biplav Srivastava & Subbarao Kambhampati - 2012 - Artificial Intelligence 190 (C):1-31.details
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