Learning Multidimensional Control Actions from Delayed Reinforcements

  • Pawea Cichosz
  • Published 1995

Abstract

This paper addresses the problem of learning multidimensional control actions from delayed rewards. Classical reinforcement learning algorithms can be applied to tasks with multidimen-sional action spaces by recoding the action space appropriately (transforming it artiicially to a single dimension), but this straightforward recoding approach suuers from… (More)

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