Imitative Reinforcement Learning for Soccer Playing Robots

  title={Imitative Reinforcement Learning for Soccer Playing Robots},
  author={Tobias Latzke and Sven Behnke and Maren Bennewitz},
In this paper, we apply Reinforcement Learning (RL) to a real-world task. While complex problems have been solved by RL in simulated worlds, the costs of obtaining enough training examples often prohibits the use of plain RL in real-world scenarios. We propose three approaches to reduce training expenses for real-world RL. Firstly, we replace the random exploration of the huge search space, which plain RL uses, by guided exploration that imitates a teacher. Secondly, we use experiences not only… CONTINUE READING

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