Image de couverture de livre

Adaptive Coarse-to-Fine Subgoal Refinement for Long-Horizon Offline Goal-Conditioned Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ke, Kaiqiang, He, Shenghong, Xu, Chengdong, Luo, Yuheng, Lan, Xiangyuan, Yu, Chao
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
par: He, Shenghong
Publié: (2025)

Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
par: Choi, Jinwoo, et autres
Publié: (2026)

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
par: Hwang, Jaebak, et autres
Publié: (2025)

Abstraction for Offline Goal-Conditioned Reinforcement Learning
par: Wibault, Clarisse, et autres
Publié: (2026)

GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning
par: Lei, Xing, et autres
Publié: (2025)

Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
par: Wu, Lisheng, et autres
Publié: (2024)

Advantage-based Temporal Attack in Reinforcement Learning
par: He, Shenghong
Publié: (2026)

Gradient Inversion in Federated Reinforcement Learning
par: He, Shenghong
Publié: (2025)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
par: Huang, Xingshuai, et autres
Publié: (2024)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
par: Kobanda, Anthony, et autres
Publié: (2025)

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
par: Kang, Hyungkyu, et autres
Publié: (2026)

Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
par: Park, Byoungwoo, et autres
Publié: (2026)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
par: Sikchi, Harshit, et autres
Publié: (2023)

Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
par: Kim, Junseok, et autres
Publié: (2026)

Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
par: Giammarino, Vittorio, et autres
Publié: (2025)

Anticipation-VLA: Solving Long-Horizon Embodied Tasks via Anticipation-based Subgoal Generation
par: Zhang, Zhilong, et autres
Publié: (2026)

Goal-Space Planning with Subgoal Models
par: Lo, Chunlok, et autres
Publié: (2022)

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
par: Zawalski, Michał, et autres
Publié: (2022)

DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
par: Zhao, Hanye, et autres
Publié: (2024)

A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
par: Wang, Taiyi, et autres
Publié: (2026)

Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
par: Yu, Yan, et autres
Publié: (2025)

Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
par: Ni, Tianwei, et autres
Publié: (2025)

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
par: Ahn, Hongjoon, et autres
Publié: (2025)

Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens
par: Clinton, Joseph, et autres
Publié: (2024)

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning
par: Wu, Qingyuan, et autres
Publié: (2025)

Context-Picker: Dynamic context selection using multi-stage reinforcement learning
par: Zhu, Siyuan, et autres
Publié: (2025)

Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
par: Jing, Tan, et autres
Publié: (2025)

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
par: Venugopal, Aravind, et autres
Publié: (2026)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
par: Cao, Chenyang, et autres
Publié: (2024)

Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
par: Kim, Jeonghye, et autres
Publié: (2024)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
par: Ma, Yunchang, et autres
Publié: (2025)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
par: Liu, Tenglong, et autres
Publié: (2024)

Offline Reinforcement Learning with Universal Horizon Models
par: Chung, Hojun, et autres
Publié: (2026)

Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning
par: Xu, Duo, et autres
Publié: (2024)

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
par: Myers, Vivek, et autres
Publié: (2025)

Horizon Reduction as Information Loss in Offline Reinforcement Learning
par: Nidadala, Uday Kumar, et autres
Publié: (2025)

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
par: Wang, Vivienne Huiling, et autres
Publié: (2025)

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
par: He, Jinmin, et autres
Publié: (2025)

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
par: Kim, Donghoon, et autres
Publié: (2024)

Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding
par: He, Shenghong, et autres
Publié: (2024)