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    AIPS
    2000
    135views Artificial Intelligence» more  AIPS 2000»
    Dynamic Programming for POMDPs Using a Factored State Representation
    13 years 6 months ago
    Dynamic Programming for POMDPs Using a Factored State Representation
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    Eric A. Hansen, Zhengzhu Feng
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    AIPS
    2000
    122views Artificial Intelligence» more  AIPS 2000»
    New Advances in GraphHTN: Identifying Independent Subproblems in Large HTN Domains
    13 years 6 months ago
    New Advances in GraphHTN: Identifying Independent Subproblems in Large HTN Domains
    Download  www.cs.umd.edu
    We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
    Amnon Lotem, Dana S. Nau
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    AIPS
    2000
    107views Artificial Intelligence» more  AIPS 2000»
    On-line Scheduling via Sampling
    13 years 6 months ago
    On-line Scheduling via Sampling
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    1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...
    Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong
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    AIPS
    2000
    87views Artificial Intelligence» more  AIPS 2000»
    Utilizing Automatically Inferred Invariants in Graph Construction and Search
    13 years 6 months ago
    Utilizing Automatically Inferred Invariants in Graph Construction and Search
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    Maria Fox, Derek Long
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    AIPS
    2000
    130views Artificial Intelligence» more  AIPS 2000»
    New Results about LCGP, a Least Committed GraphPlan
    13 years 6 months ago
    New Results about LCGP, a Least Committed GraphPlan
    Download  v.vidal.free.fr
    Planners from the family of Graphplan (Graphplan, IPP, STAN...) are presently considered as the most efficient ones on numerous planning domains. Their partially ordered plans can...
    Michel Cayrol, Pierre Régnier, Vincent Vida...
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    AIPS
    2000
    97views Artificial Intelligence» more  AIPS 2000»
    Solving Scheduling Problems with Setup Times and Alternative Resources
    13 years 6 months ago
    Solving Scheduling Problems with Setup Times and Alternative Resources
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    Filippo Focacci, Philippe Laborie, Wim Nuijten
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    AIPS
    2000
    111views Artificial Intelligence» more  AIPS 2000»
    Planning with Incomplete Information as Heuristic Search in Belief Space
    13 years 6 months ago
    Planning with Incomplete Information as Heuristic Search in Belief Space
    Download  www.cis.udel.edu
    The formulation of planning as heuristic search with heuristics derived from problem representations has turned out to be a fruitful approach for classical planning. In this paper...
    Blai Bonet, Hector Geffner
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    AIPS
    2000
    101views Artificial Intelligence» more  AIPS 2000»
    Investigating the Effect of Relevance and Reachability Constraints on SAT Encodings of Planning
    13 years 6 months ago
    Investigating the Effect of Relevance and Reachability Constraints on SAT Encodings of Planning
    Download  rakaposhi.eas.asu.edu
    Currently, Graphplan and Blackbox, which converts Graphplan's plan graph into the satisfaction (SAT) problem, are two of the most successful planners. Since Graphplan gains i...
    Minh Binh Do, Biplav Srivastava, Subbarao Kambhamp...
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    AIPS
    2000
    79views Artificial Intelligence» more  AIPS 2000»
    Solving Planning-Graph by Compiling It into CSP
    13 years 6 months ago
    Solving Planning-Graph by Compiling It into CSP
    Download  rakaposhi.eas.asu.edu
    Minh Binh Do, Subbarao Kambhampati
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    AIPS
    2000
    106views Artificial Intelligence» more  AIPS 2000»
    Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
    13 years 6 months ago
    Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
    Download  www.aaai.org
    This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
    Michael Beetz, Henrik Grosskreutz
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