• Corpus ID: 7708848

Turing Learning with Nash Memory Machine Learning , Game Theory and Robotics

@inproceedings{Wang2017TuringLW,
  title={Turing Learning with Nash Memory Machine Learning , Game Theory and Robotics},
  author={Shuai Wang},
  year={2017}
}
Turing Learning is a method for the reverse engineering of agent behaviors. This approach was inspired by the Turing test where a machine can pass if its behaviour is indistinguishable from that of a human. Nash memory is a memory mechanism for coevolution. It guarantees monotonicity in convergence. This thesis explores the integration of such memory mechanism with Turing Learning for faster learning of agent behaviors. We employ the Enki robot simulation platform and learns the aggregation… 

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