Imagen de Portada

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Guo, Siyuan, Sun, Yanchao, Hu, Jifeng, Huang, Sili, Chen, Hechang, Piao, Haiyin, Sun, Lichao, Chang, Yi
Formato:	Preprint
Publicado:	2023
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

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
por: Hu, Jifeng, et al.
Publicado: (2025)

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal
por: Hu, Jifeng, et al.
Publicado: (2024)

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
por: Huang, Sili, et al.
Publicado: (2024)

Decision Flow Policy Optimization
por: Hu, Jifeng, et al.
Publicado: (2025)

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
por: Hu, Jifeng, et al.
Publicado: (2024)

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
por: Huang, Sili, et al.
Publicado: (2024)

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning
por: Chen, Rufeng, et al.
Publicado: (2026)

The Three Regimes of Offline-to-Online Reinforcement Learning
por: Li, Lu, et al.
Publicado: (2025)

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
por: Guo, Siyuan, et al.
Publicado: (2026)

Simple Ingredients for Offline Reinforcement Learning
por: Cetin, Edoardo, et al.
Publicado: (2024)

SAMG: Offline-to-Online Reinforcement Learning via State-Action-Conditional Offline Model Guidance
por: Zhang, Liyu, et al.
Publicado: (2024)

Phasic Diversity Optimization for Population-Based Reinforcement Learning
por: Jiang, Jingcheng, et al.
Publicado: (2024)

Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
por: Zhong, Hai, et al.
Publicado: (2024)

Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework
por: Hu, Yulong, et al.
Publicado: (2025)

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
por: Huang, Xiao, et al.
Publicado: (2025)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
por: Zhao, Kai, et al.
Publicado: (2023)

Online Optimization for Offline Safe Reinforcement Learning
por: Chemingui, Yassine, et al.
Publicado: (2025)

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
por: Zhang, Haichao, et al.
Publicado: (2023)

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
por: Baker, Frazier N., et al.
Publicado: (2023)

Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning
por: Shen, Yi, et al.
Publicado: (2024)

Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
por: Cho, Minjae, et al.
Publicado: (2024)

OGER: A Robust Offline-Guided Exploration Reward for Hybrid Reinforcement Learning
por: Ma, Xinyu, et al.
Publicado: (2026)

Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
por: Song, Chihyeon, et al.
Publicado: (2025)

Discrete Flow Matching for Offline-to-Online Reinforcement Learning
por: Khan, Fairoz Nower, et al.
Publicado: (2026)

Improving Offline Reinforcement Learning with Inaccurate Simulators
por: Hou, Yiwen, et al.
Publicado: (2024)

Expressive Value Learning for Scalable Offline Reinforcement Learning
por: Espinosa-Dice, Nicolas, et al.
Publicado: (2025)

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
por: Cai, Ruichu, et al.
Publicado: (2024)

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
por: Wang, Mianchu, et al.
Publicado: (2023)

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
por: Shin, Yongjae, et al.
Publicado: (2026)

ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
por: Wang, Xiaoxuan, et al.
Publicado: (2026)

Dataset Distillation for Offline Reinforcement Learning
por: Light, Jonathan, et al.
Publicado: (2024)

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
por: Niu, Haoyi, et al.
Publicado: (2022)

Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data
por: Wang, Danyang, et al.
Publicado: (2024)

BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
por: Shen, Qianli, et al.
Publicado: (2025)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
por: Alles, Marvin, et al.
Publicado: (2025)

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

Large Language Models for Robotics: A Survey
por: Zeng, Fanlong, et al.
Publicado: (2023)

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
por: Zhou, Xueyang, et al.
Publicado: (2025)

Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision
por: Zhang, Shilin, et al.
Publicado: (2025)

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
por: Formanek, Claude, et al.
Publicado: (2023)