Imagen de Portada

Corruption Robust Offline Reinforcement Learning with Human Feedback

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mandal, Debmalya, Nika, Andi, Kamalaruban, Parameswaran, Singla, Adish, Radanović, Goran
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback
por: Nika, Andi, et al.
Publicado: (2026)

Corruption-Robust Offline Two-Player Zero-Sum Markov Games
por: Nika, Andi, et al.
Publicado: (2024)

Policy Teaching via Data Poisoning in Learning from Human Preferences
por: Nika, Andi, et al.
Publicado: (2025)

Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
por: Nika, Andi, et al.
Publicado: (2024)

Distributionally Robust Reinforcement Learning with Human Feedback
por: Mandal, Debmalya, et al.
Publicado: (2025)

Sparse Offline Reinforcement Learning with Corruption Robustness
por: Tran, Nam Phuong, et al.
Publicado: (2025)

Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
por: Tzannetos, Georgios, et al.
Publicado: (2024)

On Corruption-Robustness in Performative Reinforcement Learning
por: Pollatos, Vasilis, et al.
Publicado: (2025)

Learning Embeddings for Sequential Tasks Using Population of Agents
por: Mahajan, Mridul, et al.
Publicado: (2023)

Informativeness of Reward Functions in Reinforcement Learning
por: Devidze, Rati, et al.
Publicado: (2024)

Performative Reinforcement Learning with Linear Markov Decision Process
por: Mandal, Debmalya, et al.
Publicado: (2024)

Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
por: Tzannetos, Georgios, et al.
Publicado: (2025)

Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
por: Nöther, Jonathan, et al.
Publicado: (2025)

Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints
por: Nöther, Jonathan, et al.
Publicado: (2025)

Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
por: Kotalwar, Nachiket, et al.
Publicado: (2024)

Adversarially Robust Decision Transformer
por: Tang, Xiaohang, et al.
Publicado: (2024)

MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems
por: Nöther, Jonathan, et al.
Publicado: (2026)

Performative Reinforcement Learning in Gradually Shifting Environments
por: Rank, Ben, et al.
Publicado: (2024)

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
por: Yang, Rui, et al.
Publicado: (2023)

Reward Design for Justifiable Sequential Decision-Making
por: Sukovic, Aleksa, et al.
Publicado: (2024)

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
por: Liu, Zeyuan, et al.
Publicado: (2025)

Reinforcement Learning for Durable Algorithmic Recourse
por: Ceccon, Marina, et al.
Publicado: (2025)

Inference-Time Personalized Alignment with a Few User Preference Queries
por: Pădurean, Victor-Alexandru, et al.
Publicado: (2025)

Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
por: Yang, Rui, et al.
Publicado: (2024)

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
por: Xu, Le, et al.
Publicado: (2025)

Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
por: Triantafyllou, Stelios, et al.
Publicado: (2023)

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
por: Xu, Jiawei, et al.
Publicado: (2024)

Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback
por: Emerson, Harry, et al.
Publicado: (2025)

Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
por: Radmehr, Bahar, et al.
Publicado: (2024)

Stochastic Principal-Agent Problems: Efficient Computation and Learning
por: Gan, Jiarui, et al.
Publicado: (2023)

Independent Learning in Performative Markov Potential Games
por: Sahitaj, Rilind, et al.
Publicado: (2025)

Emergent Bias and Fairness in Multi-Agent Decision Systems
por: Madigan, Maeve, et al.
Publicado: (2025)

Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
por: He, Longxiang, et al.
Publicado: (2025)

Robust Probabilistic Shielding for Safe Offline Reinforcement Learning
por: Galesloot, Maris F. L., et al.
Publicado: (2026)

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

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

Offline Trajectory Optimization for Offline Reinforcement Learning
por: Zhao, Ziqi, et al.
Publicado: (2024)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
por: Li, Mingxuan, et al.
Publicado: (2026)

Real-World Offline Reinforcement Learning from Vision Language Model Feedback
por: Venkataraman, Sreyas, et al.
Publicado: (2024)

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
por: Zhan, Simon Sinong, et al.
Publicado: (2025)