An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Lin, Qian, Liu, Zongkai, Mo, Danying, Yu, Chao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Policy-regularized Offline Multi-objective Reinforcement Learning
por: Lin, Qian, et al.
Publicado: (2024)
por: Lin, Qian, et al.
Publicado: (2024)
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
por: Liu, Zongkai, et al.
Publicado: (2024)
por: Liu, Zongkai, et al.
Publicado: (2024)
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
por: Gu, Shangding, et al.
Publicado: (2024)
por: Gu, Shangding, et al.
Publicado: (2024)
Offline Multi-Objective Optimization
por: Xue, Ke, et al.
Publicado: (2024)
por: Xue, Ke, et al.
Publicado: (2024)
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
por: Kim, Woosung, et al.
Publicado: (2025)
por: Kim, Woosung, et al.
Publicado: (2025)
State-Constrained Offline Reinforcement Learning
por: Hepburn, Charles A., et al.
Publicado: (2024)
por: Hepburn, Charles A., et al.
Publicado: (2024)
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
por: Liu, Zongkai, et al.
Publicado: (2025)
por: Liu, Zongkai, et al.
Publicado: (2025)
Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
por: Xu, Yinglun, et al.
Publicado: (2023)
por: Xu, Yinglun, et al.
Publicado: (2023)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
por: Lin, Qian, et al.
Publicado: (2023)
por: Lin, Qian, et al.
Publicado: (2023)
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
por: Yuan, Yifu, et al.
Publicado: (2024)
por: Yuan, Yifu, et al.
Publicado: (2024)
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
por: Mao, Yixiu, et al.
Publicado: (2025)
por: Mao, Yixiu, et al.
Publicado: (2025)
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
por: Fang, Nan, et al.
Publicado: (2024)
por: Fang, Nan, et al.
Publicado: (2024)
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
por: Cho, Minjae, et al.
Publicado: (2024)
por: Cho, Minjae, et al.
Publicado: (2024)
Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation
por: Zhou, Zhijian, et al.
Publicado: (2025)
por: Zhou, Zhijian, et al.
Publicado: (2025)
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
por: Alles, Marvin, et al.
Publicado: (2024)
por: Alles, Marvin, et al.
Publicado: (2024)
Manifold-Constrained Energy-Based Transition Models for Offline Reinforcement Learning
por: Fang, Zeyu, et al.
Publicado: (2026)
por: Fang, Zeyu, et al.
Publicado: (2026)
Offline Trajectory Optimization for Offline Reinforcement Learning
por: Zhao, Ziqi, et al.
Publicado: (2024)
por: Zhao, Ziqi, et al.
Publicado: (2024)
Preference-Guided Diffusion for Multi-Objective Offline Optimization
por: Annadani, Yashas, et al.
Publicado: (2025)
por: Annadani, Yashas, et al.
Publicado: (2025)
Dataset Distillation for Offline Reinforcement Learning
por: Light, Jonathan, et al.
Publicado: (2024)
por: Light, Jonathan, et al.
Publicado: (2024)
Demonstration Guided Multi-Objective Reinforcement Learning
por: Lu, Junlin, et al.
Publicado: (2024)
por: Lu, Junlin, et al.
Publicado: (2024)
Multi-Objective Reinforcement Learning for Water Management
por: Osika, Zuzanna, et al.
Publicado: (2025)
por: Osika, Zuzanna, et al.
Publicado: (2025)
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
por: Shrestha, Jatan, et al.
Publicado: (2026)
por: Shrestha, Jatan, et al.
Publicado: (2026)
Mutual Information Regularized Offline Reinforcement Learning
por: Ma, Xiao, et al.
Publicado: (2022)
por: Ma, Xiao, et al.
Publicado: (2022)
Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
por: Han, Seungyub, et al.
Publicado: (2026)
por: Han, Seungyub, et al.
Publicado: (2026)
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
por: Chen, Jiayu, et al.
Publicado: (2025)
por: Chen, Jiayu, et al.
Publicado: (2025)
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation
por: Peri, Samuele, et al.
Publicado: (2024)
por: Peri, Samuele, et al.
Publicado: (2024)
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
por: Qian, Fuyuan, et al.
Publicado: (2026)
por: Qian, Fuyuan, et al.
Publicado: (2026)
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
por: Huang, Xiao, et al.
Publicado: (2025)
por: Huang, Xiao, et al.
Publicado: (2025)
On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage
por: Liu, Haolin, et al.
Publicado: (2026)
por: Liu, Haolin, et al.
Publicado: (2026)
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
por: Aggarwal, Vaneet, et al.
Publicado: (2024)
por: Aggarwal, Vaneet, et al.
Publicado: (2024)
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
por: Liu, Shijie, et al.
Publicado: (2025)
por: Liu, Shijie, et al.
Publicado: (2025)
KAN v.s. MLP for Offline Reinforcement Learning
por: Guo, Haihong, et al.
Publicado: (2024)
por: Guo, Haihong, et al.
Publicado: (2024)
TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning
por: Rajapakse, Dilina, et al.
Publicado: (2026)
por: Rajapakse, Dilina, et al.
Publicado: (2026)
Interpretability by Design for Efficient Multi-Objective Reinforcement Learning
por: Xia, Qiyue, et al.
Publicado: (2025)
por: Xia, Qiyue, et al.
Publicado: (2025)
Imitating Cost-Constrained Behaviors in Reinforcement Learning
por: Shao, Qian, et al.
Publicado: (2024)
por: Shao, Qian, et al.
Publicado: (2024)
Imagination-Limited Q-Learning for Offline Reinforcement Learning
por: Liu, Wenhui, et al.
Publicado: (2025)
por: Liu, Wenhui, et al.
Publicado: (2025)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
por: Su, Huikang, et al.
Publicado: (2025)
por: Su, Huikang, et al.
Publicado: (2025)
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
por: Chen, Xuyang, et al.
Publicado: (2025)
por: Chen, Xuyang, et al.
Publicado: (2025)
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
por: Gao, Chen-Xiao, et al.
Publicado: (2024)
por: Gao, Chen-Xiao, et al.
Publicado: (2024)
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
por: He, Jinmin, et al.
Publicado: (2025)
por: He, Jinmin, et al.
Publicado: (2025)
Ejemplares similares
-
Policy-regularized Offline Multi-objective Reinforcement Learning
por: Lin, Qian, et al.
Publicado: (2024) -
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
por: Liu, Zongkai, et al.
Publicado: (2024) -
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
por: Gu, Shangding, et al.
Publicado: (2024) -
Offline Multi-Objective Optimization
por: Xue, Ke, et al.
Publicado: (2024) -
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
por: Kim, Woosung, et al.
Publicado: (2025)