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A Framework for Reinforcement Learning on Real Robots

William D. Smart.
In "Proceedings of the US-Japan Graduate Student Forum in Robotics", pages 60-63, Osaka, Japan, 1996.

Learning on real robots in a real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be applied, the environment is often unforgiving and progress must be made in real-time. In this paper, we introduce a framework for learning on real-world robots that addresses these issues and allows some standard learning techniques to be used more easily on robots. We also present and discuss some preliminary results obtained with this framework.

Paper: [PDF]

@inproceedings{iros1996,
  author = {Smart, William D.},
  title = {A Framework for Reinforcement Learning on Real Robots},
  booktitle = {Proceedings of the {US-Japan} Graduate Student Forum in Robotics},
  pages = {60--63},
  address = {Osaka, Japan},
  type = {inproceedings},
  year = {1996}
}