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2018 Volume 33
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ORIGINAL RESEARCH   Open Access    

Special issue on adaptive and learning agents 2017

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  • Mannion P., Devlin S., Duggan J. & Howley E. 2018. Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning. The Knowledge Engineering Review, X, XX-XX.

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    Parashar P., Goel A. K., Sheneman B. & Christensen H. 2018. Towards life-long adaptive agents: a hybrid planning paradigm for combining domain knowledge with reinforcement learning. The Knowledge Engineering Review, X, XX-XX.

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    Rosa Amado L. & Meneguzzi F. 2018. Q-table compression for reinforcement learning. The Knowledge Engineering Review, X, XX-XX.

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    Rosenfeld A., Cohen M., Taylor M. & Kraus S. 2018. Leveraging human knowledge in tabular reinforcement learning: a study of human subjects. The Knowledge Engineering Review, X, XX-XX.

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    Yucel O. & Sen S. 2018. Language independent recommender agent. The Knowledge Engineering Review, X, XX-XX.

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  • Cite this article

    Patrick Mannion, Anna Harutyunyan, Kaushik Subramanian. 2018. Special issue on adaptive and learning agents 2017. The Knowledge Engineering Review 33(1), doi: 10.1017/S026988891800022X
    Patrick Mannion, Anna Harutyunyan, Kaushik Subramanian. 2018. Special issue on adaptive and learning agents 2017. The Knowledge Engineering Review 33(1), doi: 10.1017/S026988891800022X

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ORIGINAL RESEARCH   Open Access    

Special issue on adaptive and learning agents 2017

    • The ALA 2017 organisers would like to extend their thanks to all who served as reviewers for the workshop, and to the KER editors Prof. Peter McBurney and Prof. Simon Parsons for facilitating this special issue.

    • © Cambridge University Press, 2018 2018Cambridge University Press
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    Cite this article
    Patrick Mannion, Anna Harutyunyan, Kaushik Subramanian. 2018. Special issue on adaptive and learning agents 2017. The Knowledge Engineering Review 33(1), doi: 10.1017/S026988891800022X
    Patrick Mannion, Anna Harutyunyan, Kaushik Subramanian. 2018. Special issue on adaptive and learning agents 2017. The Knowledge Engineering Review 33(1), doi: 10.1017/S026988891800022X
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