reward learning

DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation CoRL 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 Improving Factuality of Abstractive Summarization via Contrastive Reward Learning ACL 2023 Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023 Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback ACL 2023 LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023 Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control ACL 2023 Personalized Reward Learning with Interaction-Grounded Learning (IGL) ICLR 2023 Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences ICLR 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023 Video Prediction Models as Rewards for Reinforcement Learning NeurIPS 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training ICLR 2023 Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning ICML 2022 [CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022 Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms CoRL 2022 Dynamics-Aware Comparison of Learned Reward Functions ICLR 2022 Few-Shot Preference Learning for Human-in-the-Loop RL CoRL 2022 Inferring Lexicographically-Ordered Rewards from Preferences AAAI 2022 Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning NeurIPS 2022 Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NeurIPS 2022 SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning ICLR 2022 Information Directed Reward Learning for Reinforcement Learning NeurIPS 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021 Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos RSS 2021