Reinforcement Learning with Human Teachers: Understanding How People Want to Teach Robots

@article{Thomaz2006ReinforcementLW,
  title={Reinforcement Learning with Human Teachers: Understanding How People Want to Teach Robots},
  author={Andrea Lockerd Thomaz and Guy Hoffman and Cynthia Breazeal},
  journal={ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication},
  year={2006},
  pages={352-357}
}
While reinforcement learning (RL) is not traditionally designed for interactive supervisory input from a human teacher, several works in both robot and software agents have adapted it for human input by letting a human trainer control the reward signal. In this work, we experimentally examine the assumption underlying these works, namely that the human-given reward is compatible with the traditional RL reward signal. We describe an experimental platform with a simulated RL robot and present an… CONTINUE READING
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