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View all- Žnidaršič MOsojnik ARupnik PŽenko B(2022)Improving Effectiveness of a Coaching System through Preference LearningTechnologies10.3390/technologies1001002410:1(24)Online publication date: 31-Jan-2022
Multiple Criteria Decision Aiding (MCDA) offers a diversity of approaches designed for providing the decision maker (DM) with a recommendation concerning a set of alternatives (items, actions) evaluated from multiple points of view, called criteria. ...
This paper makes a first step toward the integration of two subfields of machine learning, namely preference learning and reinforcement learning (RL). An important motivation for a preference-based approach to reinforcement learning is the observation ...
User preference learning is an important process in automated negotiation, because only when the negotiating agents are able to fully grasp the user preference information can the negotiation strategy play its due role. However, in most automated ...
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