Using reinforcement learning to improve exploration trajectories for error minimization

@article{Kollar2006UsingRL,
  title={Using reinforcement learning to improve exploration trajectories for error minimization},
  author={Thomas Kollar and Nicholas Roy},
  journal={Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.},
  year={2006},
  pages={3338-3343}
}
The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate similar attention, as the ease of construction and quality of map is strongly dependent on the strategy used to acquire sensor data for the map. Most exploration strategies concentrate on selecting the next best measurement to take, trading off information gathering for regular relocalization. What has not been studied so far is the… CONTINUE READING
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