Active Neural Localization

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Chaplot, Devendra Singh; Parisotto, Emilio; Salakhutdinov, Ruslan;
  • Subject: Computer Science - Artificial Intelligence | Computer Science - Robotics | Computer Science - Learning

Localization is the problem of estimating the location of an autonomous agent from an observation and a map of the environment. Traditional methods of localization, which filter the belief based on the observations, are sub-optimal in the number of steps required, as th... View more
  • References (45)
    45 references, page 1 of 5

    Andrew G Barto, Richard S Sutton, and Charles W Anderson. Neuronlike adaptive elements that can solve difficult learning control problems. IEEE transactions on systems, man, and cybernetics, pp. 834-846, 1983.

    Johann Borenstein, H. R. Everett, and Liqiang Feng. Navigating Mobile Robots: Systems and Techniques. A. K. Peters, Ltd., Natick, MA, USA, 1996. ISBN 1568810660.

    Wolfram Burgard, Dieter Fox, Daniel Hennig, and Timo Schmidt. Estimating the absolute position of a mobile robot using position probability grids. In Proceedings of the national conference on artificial intelligence, pp. 896-901, 1996.

    Wolfram Burgard, Andrcas Derr, Dieter Fox, and Armin B Cremers. Integrating global position estimation and position tracking for mobile robots: the dynamic markov localization approach. In Intelligent Robots and Systems, 1998. Proceedings., 1998 IEEE/RSJ International Conference on, volume 2, pp. 730-735. IEEE, 1998.

    Devendra Singh Chaplot and Guillaume Lample. Arnold: An autonomous agent to play fps games. In AAAI, pp. 5085-5086, 2017.

    Devendra Singh Chaplot, Guillaume Lample, Kanthashree Mysore Sathyendra, and Ruslan Salakhutdinov. Transfer deep reinforcement learning in 3d environments: An empirical study. In NIPS Deep Reinforcemente Leaning Workshop, 2016.

    Luo Chunjie, Yang Qiang, et al. Cosine normalization: Using cosine similarity instead of dot product in neural networks. arXiv preprint arXiv:1702.05870, 2017.

    Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, and Hongkai Wen. Vidloc: 6-dof video-clip relocalization. arXiv preprint arXiv:1702.06521, 2017a.

    Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, and Niki Trigoni. Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem. In AAAI, pp. 3995-4001, 2017b.

    Ingemar J Cox and John J Leonard. Modeling a dynamic environment using a bayesian multiple hypothesis approach. Artificial Intelligence, 66(2):311-344, 1994.

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