reward estimation

Out of Distribution, Out of Luck: Process Rewards Misguide Reasoning Models EACL 2026 Logarithmic Regret for Online KL-Regularized Reinforcement Learning ICML 2025 Rethinking DPO-style Diffusion Aligning Frameworks ICCV 2025 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Privileged Sensing Scaffolds Reinforcement Learning ICLR 2024 Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024 A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning NeurIPS 2023 Boosted Off-Policy Learning AISTATS 2023 Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023 Entropy Regularization for Population Estimation AAAI 2023 Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NeurIPS 2022 Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits AISTATS 2022 Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract) AAAI 2021 Language Resource Efficient Learning for Captioning EMNLP 2021 Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions AAAI 2021 Reinforcement Learning with Trajectory Feedback AAAI 2021 [RETRACTED] WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue ACL 2021 Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach EMNLP 2021 Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020 Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions ICML 2020 Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020 Efficient Counterfactual Learning from Bandit Feedback AAAI 2019 Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog EMNLP 2019 Neural Machine Translation with Adequacy-Oriented Learning AAAI 2019