A Reinforcement Learning approach for the Cross-Domain Heuristic Search Challenge

@inproceedings{Gaspero2011ARL,
  title={A Reinforcement Learning approach for the Cross-Domain Heuristic Search Challenge},
  author={Luca Di Gaspero and Tommaso Urli},
  year={2011}
}
The International Cross-Domain Heuristic Search Challenge (hereinafter CHeSC 2011) [3] is an ongoing competition that prompts for the design of a generally applicable high-level strategy for the automatic selection of problem-specific low-level heuristics across different problem domains. We participate in the challenge with a Reinforcement Learning approach. In this paper we describe the current state of the general algorithm by outlining our design choices and we present the preliminary… CONTINUE READING

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Hyper - Heuristics : An emerging direction in modern search technology

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