preference learning

Automated Negotiation with Gaussian Process-based Utility Models IJCAI 2019 Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations CoRL 2019 Designing Preferences, Beliefs, and Identities for Artificial Intelligence AAAI 2019 Development of Emotion Rankers Based on Intended and Perceived Emotion Labels Interspeech 2019 Dueling Bandits with Qualitative Feedback AAAI 2019 Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning AAAI 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NeurIPS 2019 Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NeurIPS 2019 Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NeurIPS 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Multiclass Performance Metric Elicitation NeurIPS 2019 Near-Neighbor Methods in Random Preference Completion AAAI 2019 Nonverbal Robot Feedback for Human Teachers CoRL 2019 Optimizing Interactive Systems with Data-Driven Objectives IJCAI 2019 PAC Battling Bandits in the Plackett-Luce Model ALT 2019 Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning ACL 2019 Preferences Implicit in the State of the World ICLR 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Advancements in Dueling Bandits IJCAI 2018 APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning EMNLP 2018 Batch Active Preference-Based Learning of Reward Functions CoRL 2018 Generalized Inverse Optimization through Online Learning NeurIPS 2018 Including Uncertainty when Learning from Human Corrections CoRL 2018 Learning from Comparisons and Choices JMLR 2018 Preference Based Adaptation for Learning Objectives NeurIPS 2018