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AI-Agent winner of PowerTAC 2020 developed to compete in the annual PowerTAC competition using Decision Trees, Heuristics, Monte Carlo Tree Search, and Machine Learning Algorithms.

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HeadingWinner agent of PowerTAC 2020.

The agent is described and analyzed in the EUMAS-2021 paper "Aiming for Half Gets You to the Top: Winning PowerTAC 2020", which can be downloaded from here:

http://www.intelligence.tuc.gr/~gehalk/Papers/TUC-TAC_EUMAS2021.pdf

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Please cite the paper as follows: Orfanoudakis S., Kontos S., Akasiadis C., Chalkiadakis G.: Aiming for Half Gets You to the Top: Winning PowerTAC 2020. In Proc. of the 18th European Conference on Multi-Agent Systems (EUMAS-2021), Virtual-Online, June 2021.

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AI-Agent winner of PowerTAC 2020 developed to compete in the annual PowerTAC competition using Decision Trees, Heuristics, Monte Carlo Tree Search, and Machine Learning Algorithms.

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