Corpus ID: 212617836

A CBR-ANN hybrid for dynamic environments

@inproceedings{Hegdal2019ACH,
  title={A CBR-ANN hybrid for dynamic environments},
  author={Sondre Steinsland Hegdal and Anders Kofod-Petersen},
  booktitle={ICCBR Workshops},
  year={2019}
}
  • Sondre Steinsland Hegdal, Anders Kofod-Petersen
  • Published in ICCBR Workshops 2019
  • Computer Science
  • This paper proposes a Case-based Reasoning (CBR) and Artificial Neural Network (ANN) hybrid solution for dynamic problems. In this solution, a CBR system chooses between several expert neural networks for a given case/problem. These neural networks are Recurrent Neural Networks, which are trained using Deep Q-Learning (DQN). The system was tested on the game Mega Man 2 for the NES, and is compared to how a single recurrent neural network performed. The results collected outperforms the basic… CONTINUE READING

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