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    ICML
    2001
    IEEE
    145views Machine Learning» more  ICML 2001»
    Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning
    14 years 5 months ago
    Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning
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    This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
    Martin Zinkevich, Tucker R. Balch
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