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with Velocity and Absolute Position Constraints",
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Reinforcement Learning",
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@inproceedings{bb135163,
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@inproceedings{bb135167,
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@inproceedings{bb135168,
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@inproceedings{bb135170,
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Nonlinearities Using Reinforcement Learning",
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@article{bb135189,
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Vehicles Based on an Extended State Observer and Projection Neural
Networks",
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        TITLE = "The Autonomous Underwater Vehicle Integrated with the Unmanned
Surface Vessel Mapping the Southern Ionian Sea. The Winning
Technology Solution of the Shell Ocean Discovery XPRIZE",
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        TITLE = "Motion control of unmanned underwater vehicles via deep imitation
reinforcement learning algorithm",
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Seabed by Means of Computer Vision Cloud Services",
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@article{bb135193,
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Vehicle-Manipulator System",
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Model Predictive Control",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/active675uw1.html#TT131215"}

@article{bb135195,
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a Camera Stabilizer",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/active675uw1.html#TT131216"}

@article{bb135196,
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Navigation Based on the Convolution Slop Parameter-Support Vector
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@article{bb135197,
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A Survey",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/active675uw1.html#TT131218"}

@article{bb135198,
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Configuration on Kinematic Positioning Performance",
        JOURNAL = RS,
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        NUMBER = "8",
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@article{bb135199,
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Planning and Tracking for Unmanned Underwater Vehicle",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/active675uw1.html#TT131220"}

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