conftrace_

reward learning

84 papers

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Also known as

RL

Co-occurring keywords · papers mentioning both

reinforcement learning (16) inverse reinforcement learning (15) preference learning (14) reward function (12) human feedback (12) active learning (9) imitation learning (8) preference-based learning (5) reinforcement learning from human feedback (5) policy optimization (5)

Papers

Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation AAAI 2026 Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models L4DC 2026 Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons UAI 2026 Hexaïssa: Standing on Giants’ Shoulders—Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning AAAI 2026 Misalignment from Treating Means as Ends AAAI 2026 Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025 Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation CVPR 2025 MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization ICCV 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 Reward Learning from Multiple Feedback Types ICLR 2025 VLP: Vision-Language Preference Learning for Embodied Manipulation EMNLP 2025 Adaptive Preference Scaling for Reinforcement Learning with Human Feedback NeurIPS 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024 DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks ICLR 2024 Hindsight PRIORs for Reward Learning from Human Preferences ICLR 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning ICLR 2024 Provably Efficient Interactive-Grounded Learning with Personalized Reward NeurIPS 2024 Robust Reinforcement Learning from Corrupted Human Feedback NeurIPS 2024 SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning NeurIPS 2024 STARC: A General Framework For Quantifying Differences Between Reward Functions ICLR 2024 Trajectory Improvement and Reward Learning from Comparative Language Feedback CoRL 2024 Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability NeurIPS 2024 What Matters to You? Towards Visual Representation Alignment for Robot Learning ICLR 2024 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks NeurIPS 2023