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    DAGSTUHL
    2003
    98views Software Engineering» more  DAGSTUHL 2003»
    Towards Imitation Learning from a Viewpoint of an Internal Observer
    13 years 10 months ago
    Towards Imitation Learning from a Viewpoint of an Internal Observer
    Download  www.er.ams.eng.osaka-u.ac.jp
    How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a c...
    Yuichiro Yoshikawa, Minoru Asada, Koh Hosoda
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    ROBOCUP
    2004
    Springer
    114views Robotics» more  ROBOCUP 2004»
    Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
    14 years 2 months ago
    Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
    Download  www.er.ams.eng.osaka-u.ac.jp
    The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
    Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada
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    JUCS
    2008
    180views more  JUCS 2008»
    The APS Framework For Incremental Learning of Software Agents
    13 years 9 months ago
    The APS Framework For Incremental Learning of Software Agents
    Download  www.jucs.org
    Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
    Damian Dudek
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    AAAI
    2006
    105views Intelligent Agents» more  AAAI 2006»
    Learning Partially Observable Action Models: Efficient Algorithms
    13 years 10 months ago
    Learning Partially Observable Action Models: Efficient Algorithms
    Download  www.aaai.org
    We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
    Dafna Shahaf, Allen Chang, Eyal Amir
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    ATAL
    2007
    Springer
    143views Intelligent Agents» more  ATAL 2007»
    On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
    14 years 1 months ago
    On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
    Download  web.mit.edu
    Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
    David Wingate, Satinder P. Singh
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