Christian Wirth
First name(s): Christian
Last name(s): Wirth

Publications of Christian Wirth sorted by title

A

Christian Wirth and Johannes Fürnkranz, A Policy Iteration Algorithm for Learning from Preference-based Feedback, in: Advances in Intelligent Data Analysis XII: 12th International Symposium (IDA-13), pages 427--437, Springer-Verlag, 2013
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E

Christian Wirth and Johannes Fürnkranz, EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning, in: Proceedings of the 5th Asian Conference on Machine Learning, (ACML-13), pages 483--497, JMLR.org, 2013
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Christian Wirth and Johannes Fürnkranz, First Steps Towards Learning from Game Annotations, in: Proceedings of the {ECAI} Workshop on Preference Learning: Problems and Applications in AI, Montpellier, pages 53-58, 2012
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Tobias Joppen, Miriam Moneke, Nils Schröder, Christian Wirth and Johannes Fürnkranz, Informed Hybrid Game Tree Search, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2016–01, 2016
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Christian Wirth and Johannes Fürnkranz, Learning from Trajectory-Based Action Preferences, in: Proceedings of the ICRA 2013 Workshop on Autonomous Learning, Karslruhe, 2013
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Christian Wirth, Johannes Fürnkranz and Gerhard Neumann, Model-Free Preference-based Reinforcement Learning, in: Proceedings of the 30th {AAAI} Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, pages 2222--2228, 2016
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Christian Wirth and Johannes Fürnkranz, On Learning from Game Annotations (2015), in: IEEE Transactions on Computational Intelligence and AI in Games, 7:3(304-316)
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Christian Wirth and Johannes Fürnkranz, Preference Learning from Annotated Game Databases, in: Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, pages 57--68, CEUR-WS.org, 2014
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Tobias Joppen, Christian Wirth and Johannes Fürnkranz, Preference-Based Monte Carlo Tree Search, in: Proceedings of the 41st German Conference on Artficial Intelligence (KI-18), pages 327--340, Springer, 2018
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Christian Wirth and Johannes Fürnkranz, Preference-Based Reinforcement Learning: A Preliminary Survey, in: Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning from Generalized Feedback: Beyond Numeric Rewards, 2013
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