Reinforcement learning of goal-directed obstacle-avoiding reaction strategies in an autonomous mobile robot

@article{Milln1995ReinforcementLO,
  title={Reinforcement learning of goal-directed obstacle-avoiding reaction strategies in an autonomous mobile robot},
  author={Jos{\'e} del R. Mill{\'a}n},
  journal={Robotics and Autonomous Systems},
  year={1995},
  volume={15},
  pages={275-299}
}
Abstract In this paper we argue for building reactive autonomous mobile robots through reinforcement connectionist learning. Nevertheless, basic reinforcement learning is a slow process. This paper describes an architecture which deals with complex— high-dimensional and/or continuous—situation and action spaces effectively. This architecture is based on two main ideas. The first is to organize the reactive component into a set of modules in such a way that, roughly, each one of them codifies… CONTINUE READING

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