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    AIPS
    2006
    141views Artificial Intelligence» more  AIPS 2006»
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    14 years 11 months ago
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    Download  www.aaai.org
    We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
    Malcolm J. A. Strens
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    AIPS
    2006
    133views Artificial Intelligence» more  AIPS 2006»
    Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
    14 years 11 months ago
    Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
    Download  users.cecs.anu.edu.au
    We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
    Jinbo Huang
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    101
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    ICRA
    2002
    IEEE
    120views Robotics» more  ICRA 2002»
    A Hierarchical Motion Planning Strategy for a Uniform Self-Reconfigurable Modular Robotic System
    15 years 2 months ago
    A Hierarchical Motion Planning Strategy for a Uniform Self-Reconfigurable Modular Robotic System
    Download  www-2.cs.cmu.edu
    This paper describes a multi-layered hierarchical motion planning strategy for a class of self-reconfigurable modular robotic systems, I-Cubes. The approach is based on the synthe...
    Konstantine C. Prevas, Cem Ünsal, Mehmet &Oum...
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    64
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    AIPS
    1998
    106views Artificial Intelligence» more  AIPS 1998»
    Flexible and Scalable Query Planning in Distributed and Heterogeneous Environments
    14 years 11 months ago
    Flexible and Scalable Query Planning in Distributed and Heterogeneous Environments
    Download  www.isi.edu
    We present the application of the Planning by Rewriting PbR framework to query planning in distributed and heterogeneous environments. PbR is a new paradigm for e cient high-quali...
    José Luis Ambite, Craig A. Knoblock
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    VC
    2008
    85views more  VC 2008»
    Real-time crowd motion planning
    14 years 9 months ago
    Real-time crowd motion planning
    Download  www.cs.uu.nl
    Real-time crowd motion planning requires fast, realistic methods for path planning as well as obstacle avoidance. In a previous work (Morini et al. in Cyberworlds International Con...
    Barbara Yersin, Jonathan Maïm, Fiorenzo Morin...
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