20 found
Order:
  1.  3
    A validation-structure-based theory of plan modification and reuse.Subbarao Kambhampati & James A. Hendler - 1992 - Artificial Intelligence 55 (2-3):193-258.
  2.  6
    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.
  3.  6
    Planning as refinement search: a unified framework for evaluating design tradeoffs in partial-order planning.Subbarao Kambhampati, Craig A. Knoblock & Qiang Yang - 1995 - Artificial Intelligence 76 (1-2):167-238.
  4.  14
    Foundations of explanations as model reconciliation.Sarath Sreedharan, Tathagata Chakraborti & Subbarao Kambhampati - 2021 - Artificial Intelligence 301 (C):103558.
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  5.  7
    Model-lite planning: Case-based vs. model-based approaches.Hankz Hankui Zhuo & Subbarao Kambhampati - 2017 - Artificial Intelligence 246 (C):1-21.
  6.  5
    A unified framework for explanation-based generalization of partially ordered and partially instantiated plans.Subbarao Kambhampati & Smadar Kedar - 1994 - Artificial Intelligence 67 (1):29-70.
  7.  5
    Sequential Monte Carlo in reachability heuristics for probabilistic planning.Daniel Bryce, Subbarao Kambhampati & David E. Smith - 2008 - Artificial Intelligence 172 (6-7):685-715.
  8.  4
    Failure driven dynamic search control for partial order planners: an explanation based approach.Subbarao Kambhampati, Suresh Katukam & Yong Qu - 1996 - Artificial Intelligence 88 (1-2):253-315.
  9.  8
    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.
  10.  4
    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.
  11.  8
    Robust planning with incomplete domain models.Tuan Nguyen, Sarath Sreedharan & Subbarao Kambhampati - 2017 - Artificial Intelligence 245 (C):134-161.
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  12.  3
    Multi-contributor causal structures for planning: a formalization and evaluation.Subbarao Kambhampati - 1994 - Artificial Intelligence 69 (1-2):235-278.
  13.  5
    On the nature and role of modal truth criteria in planning.Subbarao Kambhampati & Dana S. Nau - 1996 - Artificial Intelligence 82 (1-2):129-155.
  14.  17
    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.
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  15.  3
    Anytime heuristic search for partial satisfaction planning.J. Benton, Minh Do & Subbarao Kambhampati - 2009 - Artificial Intelligence 173 (5-6):562-592.
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  16.  9
    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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  17.  13
    Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses.Niharika Jain, Alberto Olmo, Sailik Sengupta, Lydia Manikonda & Subbarao Kambhampati - 2022 - Artificial Intelligence 304 (C):103652.
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  18.  11
    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.
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  19.  11
    Using state abstractions to compute personalized contrastive explanations for AI agent behavior.Sarath Sreedharan, Siddharth Srivastava & Subbarao Kambhampati - 2021 - Artificial Intelligence 301 (C):103570.
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  20.  6
    Planning the project management way: Efficient planning by effective integration of causal and resource reasoning in RealPlan.Biplav Srivastava, Subbarao Kambhampati & Minh B. Do - 2001 - Artificial Intelligence 131 (1-2):73-134.
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