Cover Image

Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ji, Zhengran, Chen, Boyuan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pref-GUIDE Dataset
by: Ji, Zhengran
Published: (2025)

GUIDE: Real-Time Human-Shaped Agents
by: Zhang, Lingyu, et al.
Published: (2024)

CREW: Facilitating Human-AI Teaming Research
by: Zhang, Lingyu, et al.
Published: (2024)

COPR: Continual Human Preference Learning via Optimal Policy Regularization
by: Zhang, Han, et al.
Published: (2024)

Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
by: Yang, Yutao, et al.
Published: (2025)

Efficient Reinforcement Learning from Human Feedback via Bayesian Preference Inference
by: Cercola, Matteo, et al.
Published: (2025)

Contrastive Preference Learning: Learning from Human Feedback without RL
by: Hejna, Joey, et al.
Published: (2023)

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
by: Hong, Ilgee, et al.
Published: (2024)

Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback
by: Kim, Gihoon, et al.
Published: (2026)

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
by: Xiong, Wei, et al.
Published: (2023)

Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback
by: Ji, Jiaming, et al.
Published: (2025)

Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
by: Xiao, Teng, et al.
Published: (2024)

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
by: Poddar, Sriyash, et al.
Published: (2024)

Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
by: Verma, Arun, et al.
Published: (2024)

Bootstrapping LLMs via Preference-Based Policy Optimization
by: Jia, Chen
Published: (2025)

Policy-labeled Preference Learning: Is Preference Enough for RLHF?
by: Cho, Taehyun, et al.
Published: (2025)

Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
by: Peng, Xiyue, et al.
Published: (2024)

Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
by: Macuglia, Maël, et al.
Published: (2025)

Trust, Don't Trust, or Flip: Robust Preference-Based Reinforcement Learning with Multi-Expert Feedback
by: Hosseini, Seyed Amir, et al.
Published: (2026)

Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
by: Ackermann, Johannes, et al.
Published: (2025)

T-POP: Test-Time Personalization with Online Preference Feedback
by: Qu, Zikun, et al.
Published: (2025)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
by: Zhang, Tianle, et al.
Published: (2024)

Causally Robust Reward Learning from Reason-Augmented Preference Feedback
by: Hwang, Minjune, et al.
Published: (2026)

Predictive Preference Learning from Human Interventions
by: Cai, Haoyuan, et al.
Published: (2025)

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
by: Driss, Brahim, et al.
Published: (2025)

ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization
by: Chen, Yifei, et al.
Published: (2026)

Reinforcement Learning from Human Feedback with Active Queries
by: Ji, Kaixuan, et al.
Published: (2024)

RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation
by: Park, Chanwoo, et al.
Published: (2024)

Understanding the Learning Dynamics of Alignment with Human Feedback
by: Im, Shawn, et al.
Published: (2024)

Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback
by: Zhang, Rongtao, et al.
Published: (2026)

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing
by: Lotfi, Fatemeh, et al.
Published: (2025)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
by: Kang, Hyungkyu, et al.
Published: (2025)

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
by: Tu, Songjun, et al.
Published: (2024)

SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
by: Zhao, Dandan, et al.
Published: (2024)

Debiasing Online Preference Learning via Preference Feature Preservation
by: Kim, Dongyoung, et al.
Published: (2025)

Corruption Robust Offline Reinforcement Learning with Human Feedback
by: Mandal, Debmalya, et al.
Published: (2024)

Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
by: Tang, Zhiwei, et al.
Published: (2023)

Adaptive Querying for Reward Learning from Human Feedback
by: Anand, Yashwanthi, et al.
Published: (2024)

Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning
by: Hiroshima, Kei, et al.
Published: (2026)