Robust Reinforcement Learning from Corrupted Human Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Bukharin, Alexander, Hong, Ilgee, Jiang, Haoming, Li, Zichong, Zhang, Qingru, Zhang, Zixuan, Zhao, Tuo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
by: Hong, Ilgee, et al.
Published: (2024)
by: Hong, Ilgee, et al.
Published: (2024)
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
by: Li, Zichong, et al.
Published: (2025)
by: Li, Zichong, et al.
Published: (2025)
Deep Reinforcement Learning from Hierarchical Preference Design
by: Bukharin, Alexander, et al.
Published: (2023)
by: Bukharin, Alexander, et al.
Published: (2023)
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
by: Hong, Ilgee, et al.
Published: (2025)
by: Hong, Ilgee, et al.
Published: (2025)
Data Diversity Matters for Robust Instruction Tuning
by: Bukharin, Alexander, et al.
Published: (2023)
by: Bukharin, Alexander, et al.
Published: (2023)
Ask a Strong LLM Judge when Your Reward Model is Uncertain
by: Xu, Zhenghao, et al.
Published: (2025)
by: Xu, Zhenghao, et al.
Published: (2025)
Corruption Robust Offline Reinforcement Learning with Human Feedback
by: Mandal, Debmalya, et al.
Published: (2024)
by: Mandal, Debmalya, et al.
Published: (2024)
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
by: Zhang, Qingru, et al.
Published: (2025)
by: Zhang, Qingru, et al.
Published: (2025)
Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling
by: Cheng, Yuwei, et al.
Published: (2024)
by: Cheng, Yuwei, et al.
Published: (2024)
Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback
by: Nika, Andi, et al.
Published: (2026)
by: Nika, Andi, et al.
Published: (2026)
On Corruption-Robustness in Performative Reinforcement Learning
by: Pollatos, Vasilis, et al.
Published: (2025)
by: Pollatos, Vasilis, et al.
Published: (2025)
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
by: Ye, Chenlu, et al.
Published: (2023)
by: Ye, Chenlu, et al.
Published: (2023)
COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs
by: Liu, Liming, et al.
Published: (2025)
by: Liu, Liming, et al.
Published: (2025)
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
by: Ye, Chenlu, et al.
Published: (2024)
by: Ye, Chenlu, et al.
Published: (2024)
Sparse Offline Reinforcement Learning with Corruption Robustness
by: Tran, Nam Phuong, et al.
Published: (2025)
by: Tran, Nam Phuong, et al.
Published: (2025)
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
by: Yang, Rui, et al.
Published: (2023)
by: Yang, Rui, et al.
Published: (2023)
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
by: Ye, Chenlu, et al.
Published: (2024)
by: Ye, Chenlu, et al.
Published: (2024)
Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation
by: Zhang, Yuwei, et al.
Published: (2026)
by: Zhang, Yuwei, et al.
Published: (2026)
A Model Selection Approach for Corruption Robust Reinforcement Learning
by: Wei, Chen-Yu, et al.
Published: (2021)
by: Wei, Chen-Yu, et al.
Published: (2021)
Provable Reinforcement Learning from Human Feedback with an Unknown Link Function
by: Zhang, Qining, et al.
Published: (2025)
by: Zhang, Qining, et al.
Published: (2025)
Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
by: Zhang, Zhen-Yu, et al.
Published: (2026)
by: Zhang, Zhen-Yu, et al.
Published: (2026)
Distributionally Robust Reinforcement Learning with Human Feedback
by: Mandal, Debmalya, et al.
Published: (2025)
by: Mandal, Debmalya, et al.
Published: (2025)
Reinforcement Learning from Human Feedback
by: Lambert, Nathan
Published: (2025)
by: Lambert, Nathan
Published: (2025)
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026)
by: Xu, Ran, et al.
Published: (2026)
NorMuon: Making Muon more efficient and scalable
by: Li, Zichong, et al.
Published: (2025)
by: Li, Zichong, et al.
Published: (2025)
RoDiF: Robust Direct Fine-Tuning of Diffusion Policies with Corrupted Human Feedback
by: Vatsa, Amitesh, et al.
Published: (2026)
by: Vatsa, Amitesh, et al.
Published: (2026)
A Minimalist Example of Edge-of-Stability and Progressive Sharpening
by: Liu, Liming, et al.
Published: (2025)
by: Liu, Liming, et al.
Published: (2025)
Strategyproof Reinforcement Learning from Human Feedback
by: Buening, Thomas Kleine, et al.
Published: (2025)
by: Buening, Thomas Kleine, et al.
Published: (2025)
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
by: Zhang, Qingru, et al.
Published: (2023)
by: Zhang, Qingru, et al.
Published: (2023)
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
by: Zhang, Qining, et al.
Published: (2024)
by: Zhang, Qining, et al.
Published: (2024)
Dual Active Learning for Reinforcement Learning from Human Feedback
by: Liu, Pangpang, et al.
Published: (2024)
by: Liu, Pangpang, et al.
Published: (2024)
Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling
by: Qi, Han, et al.
Published: (2025)
by: Qi, Han, et al.
Published: (2025)
Adversarial Training of Reward Models
by: Bukharin, Alexander, et al.
Published: (2025)
by: Bukharin, Alexander, et al.
Published: (2025)
Towards User-level Private Reinforcement Learning with Human Feedback
by: Zhang, Jiaming, et al.
Published: (2025)
by: Zhang, Jiaming, et al.
Published: (2025)
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
by: Ye, Kai, et al.
Published: (2025)
by: Ye, Kai, et al.
Published: (2025)
Parameter Efficient Reinforcement Learning from Human Feedback
by: Sidahmed, Hakim, et al.
Published: (2024)
by: Sidahmed, Hakim, et al.
Published: (2024)
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
by: Liu, Zeyuan, et al.
Published: (2025)
by: Liu, Zeyuan, et al.
Published: (2025)
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
by: Wang, Yikai, et al.
Published: (2026)
by: Wang, Yikai, et al.
Published: (2026)
A Contractive Feedback Semantics for Reinforcement Learning
by: Zhang, Zuyuan
Published: (2026)
by: Zhang, Zuyuan
Published: (2026)
Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity
by: Zhang, Zixuan, et al.
Published: (2026)
by: Zhang, Zixuan, et al.
Published: (2026)
Similar Items
-
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
by: Hong, Ilgee, et al.
Published: (2024) -
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
by: Li, Zichong, et al.
Published: (2025) -
Deep Reinforcement Learning from Hierarchical Preference Design
by: Bukharin, Alexander, et al.
Published: (2023) -
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
by: Hong, Ilgee, et al.
Published: (2025) -
Data Diversity Matters for Robust Instruction Tuning
by: Bukharin, Alexander, et al.
Published: (2023)