Behavior coordination for a mobile robot using modular reinforcement learning

@article{Uchibe1996BehaviorCF,
  title={Behavior coordination for a mobile robot using modular reinforcement learning},
  author={Eiji Uchibe and Minoru Asada and Koh Hosoda},
  journal={Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96},
  year={1996},
  volume={3},
  pages={1329-1336 vol.3}
}
  • E. Uchibe, M. Asada, K. Hosoda
  • Published 1996
  • Engineering, Computer Science
  • Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96
Coordination of multiple behaviors independently obtained by a reinforcement learning method is one of the issues in order for the method to be scaled to larger and more complex robot learning tasks. Direct combination of all the state spaces for individual modules (subtasks) needs enormous learning time, and it causes hidden states. This paper presents a method of modular learning which coordinates multiple behaviors taking account of a trade-off between learning time and performance. First… Expand
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