Imagen de Portada

Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lee, Seong Jin, Sun, Will Wei, Liu, Yufeng
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Low-Rank Online Dynamic Assortment with Dual Contextual Information
por: Lee, Seong Jin, et al.
Publicado: (2024)

Dual Active Learning for Reinforcement Learning from Human Feedback
por: Liu, Pangpang, et al.
Publicado: (2024)

Reinforcement Learning from Human Feedback: A Statistical Perspective
por: Liu, Pangpang, et al.
Publicado: (2026)

Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback
por: Liu, Pangpang, et al.
Publicado: (2025)

Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
por: Lu, Nan, et al.
Publicado: (2025)

Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward Modeling
por: Cho, Young Hyun, et al.
Publicado: (2026)

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

Reinforcement Learning from Human Feedback
por: Lambert, Nathan
Publicado: (2025)

Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback
por: Liu, Qiang, et al.
Publicado: (2026)

Dense Reward for Free in Reinforcement Learning from Human Feedback
por: Chan, Alex J., et al.
Publicado: (2024)

TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback
por: Pang, Lei, et al.
Publicado: (2025)

Efficient Generalized Low-Rank Tensor Contextual Bandits
por: Yi, Qianxin, et al.
Publicado: (2023)

Contextually Guided Transformers via Low-Rank Adaptation
por: Zhmoginov, Andrey, et al.
Publicado: (2025)

Strategyproof Reinforcement Learning from Human Feedback
por: Buening, Thomas Kleine, et al.
Publicado: (2025)

Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
por: Liu, Haolin, et al.
Publicado: (2024)

Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
por: Shen, Wei, et al.
Publicado: (2025)

Robust Reinforcement Learning from Corrupted Human Feedback
por: Bukharin, Alexander, et al.
Publicado: (2024)

ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
por: Zhou, Junchao, et al.
Publicado: (2025)

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
por: Ye, Chenlu, et al.
Publicado: (2024)

Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity
por: Byun, Yuji, et al.
Publicado: (2024)

Parameter Efficient Reinforcement Learning from Human Feedback
por: Sidahmed, Hakim, et al.
Publicado: (2024)

A Minimaximalist Approach to Reinforcement Learning from Human Feedback
por: Swamy, Gokul, et al.
Publicado: (2024)

Multi-turn Reinforcement Learning from Preference Human Feedback
por: Shani, Lior, et al.
Publicado: (2024)

Reinforcement Learning from Multi-level and Episodic Human Feedback
por: Elahi, Muhammad Qasim, et al.
Publicado: (2025)

Combinatorial Reinforcement Learning with Preference Feedback
por: Lee, Joongkyu, et al.
Publicado: (2025)

Generalized Low-Rank Matrix Contextual Bandits with Graph Information
por: Wang, Yao, et al.
Publicado: (2025)

Federated Reinforcement Learning with Constraint Heterogeneity
por: Jin, Hao, et al.
Publicado: (2024)

The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
por: Chen, Ruitao, et al.
Publicado: (2024)

Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
por: Ye, Kai, et al.
Publicado: (2025)

Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
por: Zhang, Zhen-Yu, et al.
Publicado: (2026)

The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback
por: Lambert, Nathan, et al.
Publicado: (2023)

Provable Reinforcement Learning from Human Feedback with an Unknown Link Function
por: Zhang, Qining, et al.
Publicado: (2025)

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
por: Lee, Harrison, et al.
Publicado: (2023)

Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis
por: Zhang, Qining, et al.
Publicado: (2024)

A Survey of Reinforcement Learning from Human Feedback
por: Kaufmann, Timo, et al.
Publicado: (2023)

Active Human Feedback Collection via Neural Contextual Dueling Bandits
por: Verma, Arun, et al.
Publicado: (2025)

Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
por: Dubail, Bastien, et al.
Publicado: (2025)

Reinforcing Human Behavior Simulation via Verbal Feedback
por: Sun, Weiwei, et al.
Publicado: (2026)

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

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