Experience-based control and coordination of autonomous mobile systems in dynamic environments

@inproceedings{Buck2003ExperiencebasedCA,
  title={Experience-based control and coordination of autonomous mobile systems in dynamic environments},
  author={Sebastian Buck},
  year={2003}
}
Many real-time machine control skills are too complex and laborious to be coded by hand. Preferably, such skills are acquired by learning algorithms. Suitable algorithms should learn automatically and based on experience from interaction with the machine’s environment. But unfortunately, typical learning methods for real world machine control tasks have a number of problems: Huge highdimensional state spaces complicate inductive learning, and it might be difficult to get a sufficient amount of… CONTINUE READING