Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration

  title={Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration},
  author={Stefanos Nikolaidis and Swaprava Nath and Ariel D. Procaccia and Siddhartha S. Srinivasa},
  journal={2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI},
In human-robot teams, humans often start with an inaccurate model of the robot capabilities. As they interact with the robot, they infer the robot's capabilities and partially adapt to the robot, i.e., they might change their actions based on the observed outcomes and the robot's actions, without replicating the robot's policy. We present a game-theoretic model of human partial adaptation to the robot, where the human responds to the robot's actions by maximizing a reward function that changes… CONTINUE READING
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