conftrace_

reward learning

68 papers

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Co-occurring keywords

inverse reinforcement learning (205) reinforcement learning (4352) preference learning (418) human feedback (161) reward function (291) active learning (1301) imitation learning (744) reinforcement learning from human feedback (278) policy learning (702) robot manipulation (262)

Papers

Hexaïssa: Standing on Giants’ Shoulders—Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning AAAI 2026
Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation AAAI 2026
Misalignment from Treating Means as Ends AAAI 2026
VLP: Vision-Language Preference Learning for Embodied Manipulation EMNLP 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
Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation CVPR 2025
Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability NIPS 2024
Provably Efficient Interactive-Grounded Learning with Personalized Reward NIPS 2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback NIPS 2024
Robust Reinforcement Learning from Corrupted Human Feedback NIPS 2024
Axioms for AI Alignment from Human Feedback NIPS 2024
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning NIPS 2024
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks NIPS 2023
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning ICML 2023
LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning ACL 2023
DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation CORL 2023
Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control ACL 2023
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback ACL 2023
Video Prediction Models as Rewards for Reinforcement Learning NIPS 2023