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    AAAI
    2004
    153views Intelligent Agents» more  AAAI 2004»
    Distance Estimates for Planning in the Discrete Belief Space
    13 years 8 months ago
    Distance Estimates for Planning in the Discrete Belief Space
    Download  www.aaai.org
    We present a general framework for studying heuristics for planning in the belief space. Earlier work has focused on giving implementations of heuristics that work well on benchma...
    Jussi Rintanen
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    AAAI
    2006
    157views Intelligent Agents» more  AAAI 2006»
    Improving Approximate Value Iteration Using Memories and Predictive State Representations
    13 years 8 months ago
    Improving Approximate Value Iteration Using Memories and Predictive State Representations
    Download  www.aaai.org
    Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
    Michael R. James, Ton Wessling, Nikos A. Vlassis
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    AAAI
    2006
    136views Intelligent Agents» more  AAAI 2006»
    Learning Partially Observable Action Schemas
    13 years 8 months ago
    Learning Partially Observable Action Schemas
    Download  reason.cs.uiuc.edu
    We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
    Dafna Shahaf, Eyal Amir
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    AAAI
    2000
    101views Intelligent Agents» more  AAAI 2000»
    Extracting Effective and Admissible State Space Heuristics from the Planning Graph
    13 years 8 months ago
    Extracting Effective and Admissible State Space Heuristics from the Planning Graph
    Download  rakaposhi.eas.asu.edu
    Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches h...
    XuanLong Nguyen, Subbarao Kambhampati
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    AAAI
    2000
    132views Intelligent Agents» more  AAAI 2000»
    On Pruning Techniques for Multi-Player Games
    13 years 8 months ago
    On Pruning Techniques for Multi-Player Games
    Download  www.aaai.org
    Maxn (Luckhardt and Irani, 1986) is the extension of the minimax backup rule to multi-player games. We have shown that only a limited version of alpha-beta pruning, shallow prunin...
    Nathan R. Sturtevant, Richard E. Korf
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