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  • Multi-Agent Search under Uncertainty

    Reactive and Deep Q-Learning Methods

    Plan optimal multi-robot search paths despite imperfect sensor informationWhen multiple robots must locate targets in presence of false positive and false negative detection errors, path planning becomes extraordinarily complex. Multi-Agent Search under Uncertainty addresses this challenge directly. Written by researchers with combined expertise spanning defense systems, applied mathematics, and ... Read more

    $128.00 USD