preference learning

Uncertain Decisions Facilitate Better Preference Learning NeurIPS 2021 Adapting Stable Matchings to Evolving Preferences AAAI 2020 Axioms for Learning from Pairwise Comparisons NeurIPS 2020 Best-item Learning in Random Utility Models with Subset Choices AISTATS 2020 Competing Bandits in Matching Markets AISTATS 2020 GaSPing for Utility AAAI 2020 Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations CoRL 2020 Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020 Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption AAAI 2020 Learning to summarize with human feedback NeurIPS 2020 Multi-attribute Bayesian optimization with interactive preference learning AISTATS 2020 Predicting Choice with Set-Dependent Aggregation ICML 2020 Preference-based Reinforcement Learning with Finite-Time Guarantees NeurIPS 2020 Preference learning along multiple criteria: A game-theoretic perspective NeurIPS 2020 Refining HTN Methods via Task Insertion with Preferences AAAI 2020 Reward-rational (implicit) choice: A unifying formalism for reward learning NeurIPS 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 Simultaneous Preference and Metric Learning from Paired Comparisons NeurIPS 2020 What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020 Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings AAAI 2020 Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ACL 2020 Active Embedding Search via Noisy Paired Comparisons ICML 2019 Active Ranking with Subset-wise Preferences AISTATS 2019 A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NeurIPS 2019 Asking Easy Questions: A User-Friendly Approach to Active Reward Learning CoRL 2019