preference-based learning

ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation EACL 2026 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations ICLR 2025 In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025 LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025 Multi-Stage LLM Fine-Tuning with a Continual Learning Setting NAACL 2025 Reward Learning from Multiple Feedback Types ICLR 2025 Rating-Based Reinforcement Learning AAAI 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 What Matters to You? Towards Visual Representation Alignment for Robot Learning ICLR 2024 Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023 Imitation Learning from Vague Feedback NeurIPS 2023 Is RLHF More Difficult than Standard RL? A Theoretical Perspective NeurIPS 2023 Few-Shot Preference Learning for Human-in-the-Loop RL CoRL 2022 Safety-Aware Preference-Based Learning for Safety-Critical Control L4DC 2022 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Task Transfer by Preference-Based Cost Learning AAAI 2019