Learing Fine Motion by Using the Hierarchical Extended Kohonen Map

نویسندگان

  • Cristina Versino
  • Luca Maria Gambardella
چکیده

A Hierarchical Extended Kohonen Map (HEKM) learns to associate actions to perceptions under the supervision of a planner: they cooperate to solve path nding problems. We argue for the utility of using the hierarchical version of the KM instead of the \ at" KM. We measure the bene ts of cooperative learning due to the interaction of neighboring neurons in the HEKM. We highlight a bene cial side-e ect obtained by transferring motion skill from the planner to the HEKM, namely, smoothness of motion.

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تاریخ انتشار 1996