School of Computer Science, National University of Ireland Galway, University Road, Galway H91 TK33, Ireland e-mail: patrick.mannion@nuigalway.ie"/> DeepMind, 6 Pancras Square, London N1C 4AG, UK e-mail: harutyunyan@google.com"/> Department of Computer Science, University of Oxford, Parks Road, Oxford OX1 3QD, UK e-mail: bei.peng@cs.ox.ac.uk"/> College of Computing, Georgia Institute of Technology, 801 Atlantic Drive, Atlanta, GA 30332, USA e-mail: ksubrama@cc.gatech.edu"/>
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2021 Volume 36
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RESEARCH ARTICLE   Open Access    

Special issue on adaptive and learning agents 2018

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  • Banerjee , B., Vittanala , S. & Taylor , M. E. 2019. Team learning from human demonstration with coordination confidence. The Knowledge Engineering Review 34, e12.

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    de la Cruz , G. V., Du , Y. & Taylor , M. E. 2019. Pre-training with non-expert human demonstration for deep reinforcement learning. The Knowledge Engineering Review 34, e10.

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    Jain , A., Khetarpal , K. & Precup , D. 2021. Safe option-critic: learning safety in the option-critic architecture. The Knowledge Engineering Review 36, e4.

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    Li , M., Brys , T. & Kudenko , D. 2019a. Introspective q-learning and learning from demonstration. The Knowledge Engineering Review 34, e8.

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    Li , M., Wei , Y. & Kudenko , D. 2019b. Two-level q-learning: learning from conflict demonstrations. The Knowledge Engineering Review 34, e14.

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    Player , C. & Griffiths , N. 2020. Improving trust and reputation assessment with dynamic behaviour. The Knowledge Engineering Review 35, e29.

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    Ramos , G. d. O., Da Silva , B. C., Râdulescu , R., Bazzan , A. L. C. & Nowé , A. 2020. Toll-based reinforcement learning for efficient equilibria in route choice. The Knowledge Engineering Review 35, e8.

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    Roesler , O. & Nowé , A. 2019. Action learning and grounding in simulated human–robot interactions. The Knowledge Engineering Review 34, e13.

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    Sen , S., Crawford , C., Dees , A., Nanda Kumar , R. & Hale , J. 2020. Effects of parity, sympathy and reciprocity in increasing social welfare. The Knowledge Engineering Review 35, e31.

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    Valcarcel Macua , S., Davies , I., Tukiainen , A. & Munoz de Cote , E. in press. Diff-dac: Fully distributed actor-critic for average multitask deep reinforcement learning. The Knowledge Engineering Review 36.

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  • Cite this article

    Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian. 2021. Special issue on adaptive and learning agents 2018. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000047
    Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian. 2021. Special issue on adaptive and learning agents 2018. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000047

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RESEARCH ARTICLE   Open Access    

Special issue on adaptive and learning agents 2018

    • The ALA 2018 organisers would like to extend their thanks to all who served as reviewers for the workshop and special issue and to the Cambridge University Press staff and the KER Co-Editors-in-Chief Prof. Peter McBurney and Prof. Simon Parsons for facilitating this special issue.

    • © The Author(s), 2021. Published by Cambridge University Press2021Cambridge University Press
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    Cite this article
    Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian. 2021. Special issue on adaptive and learning agents 2018. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000047
    Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian. 2021. Special issue on adaptive and learning agents 2018. The Knowledge Engineering Review 36(1), doi: 10.1017/S0269888921000047
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