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    AAAI
    2006
    142views Intelligent Agents» more  AAAI 2006»
    Learning Basis Functions in Hybrid Domains
    13 years 11 months ago
    Learning Basis Functions in Hybrid Domains
    Download  www.aaai.org
    Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
    Branislav Kveton, Milos Hauskrecht
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    AAAI
    2006
    86views Intelligent Agents» more  AAAI 2006»
    Targeting Specific Distributions of Trajectories in MDPs
    13 years 11 months ago
    Targeting Specific Distributions of Trajectories in MDPs
    Download  www.cc.gatech.edu
    We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
    David L. Roberts, Mark J. Nelson, Charles Lee Isbe...
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    AAAI
    2006
    134views Intelligent Agents» more  AAAI 2006»
    Point-based Dynamic Programming for DEC-POMDPs
    13 years 11 months ago
    Point-based Dynamic Programming for DEC-POMDPs
    Download  hal.archives-ouvertes.fr
    We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
    Daniel Szer, François Charpillet
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    AIPS
    2004
    82views Artificial Intelligence» more  AIPS 2004»
    Learning Domain-Specific Control Knowledge from Random Walks
    13 years 11 months ago
    Learning Domain-Specific Control Knowledge from Random Walks
    Download  www2.parc.com
    We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
    Alan Fern, Sung Wook Yoon, Robert Givan
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    AIPS
    2006
    211views Artificial Intelligence» more  AIPS 2006»
    Solving Factored MDPs with Exponential-Family Transition Models
    13 years 11 months ago
    Solving Factored MDPs with Exponential-Family Transition Models
    Download  www.cs.pitt.edu
    Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
    Branislav Kveton, Milos Hauskrecht
    claim paper
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