Deep reinforcement learning with successor features for navigation across similar environments

@article{Zhang2017DeepRL,
  title={Deep reinforcement learning with successor features for navigation across similar environments},
  author={Jingwei Zhang and Jost Tobias Springenberg and Joschka Boedecker and Wolfram Burgard},
  journal={2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2017},
  pages={2371-2378}
}
In this paper we consider the problem of robot navigation in simple maze-like environments where the robot has to rely on its onboard sensors to perform the navigation task. In particular, we are interested in solutions to this problem that do not require localization, mapping or planning. Additionally, we require that our solution can quickly adapt to new situations (e.g., changing navigation goals and environments). To meet these criteria we frame this problem as a sequence of related… CONTINUE READING
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References

Publications referenced by this paper.
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Target-driven visual navigation in indoor scenes using deep reinforcement learning

2017 IEEE International Conference on Robotics and Automation (ICRA) • 2017
View 1 Excerpt

Deep spatial autoencoders for visuomotor learning

2016 IEEE International Conference on Robotics and Automation (ICRA) • 2016
View 1 Excerpt