Efficient Preference-based Reinforcement Learning
Common reinforcement learning algorithms assume access to a numeric feedback signal. The numeric feedback contains a high amount of information and can be maximized efficiently. However, the definition of a numeric feedback signal can be difficult in practise due to several limitations and badly def...
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| Format: | Others |
| Language: | en |
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2017
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| Online Access: | https://tuprints.ulb.tu-darmstadt.de/6952/1/ThesisColorMerged.pdf Wirth, Christian <http://tuprints.ulb.tu-darmstadt.de/view/person/Wirth=3AChristian=3A=3A.html> (2017): Efficient Preference-based Reinforcement Learning.Darmstadt, Technische Universität, [Ph.D. Thesis] |