:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ke, Kaiqiang, He, Shenghong, Xu, Chengdong, Luo, Yuheng, Lan, Xiangyuan, Yu, Chao
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.28127
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
by: Choi, Jinwoo, et al.
Published: (2026)

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
by: Hwang, Jaebak, et al.
Published: (2025)

GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning
by: Lei, Xing, et al.
Published: (2025)

Abstraction for Offline Goal-Conditioned Reinforcement Learning
by: Wibault, Clarisse, et al.
Published: (2026)

Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
by: Wu, Lisheng, et al.
Published: (2024)

Advantage-based Temporal Attack in Reinforcement Learning
by: He, Shenghong
Published: (2026)

Gradient Inversion in Federated Reinforcement Learning
by: He, Shenghong
Published: (2025)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
by: Kobanda, Anthony, et al.
Published: (2025)

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
by: Kang, Hyungkyu, et al.
Published: (2026)

Context-Picker: Dynamic context selection using multi-stage reinforcement learning
by: Zhu, Siyuan, et al.
Published: (2025)

Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning
by: Park, Byoungwoo, et al.
Published: (2026)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)

Goal-Space Planning with Subgoal Models
by: Lo, Chunlok, et al.
Published: (2022)

Anticipation-VLA: Solving Long-Horizon Embodied Tasks via Anticipation-based Subgoal Generation
by: Zhang, Zhilong, et al.
Published: (2026)

Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
by: Kim, Junseok, et al.
Published: (2026)

Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
by: Giammarino, Vittorio, et al.
Published: (2025)

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
by: Zawalski, Michał, et al.
Published: (2022)

Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)

A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
by: Wang, Taiyi, et al.
Published: (2026)

DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
by: Zhao, Hanye, et al.
Published: (2024)

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
by: Ahn, Hongjoon, et al.
Published: (2025)

Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning
by: Wu, Qingyuan, et al.
Published: (2025)

Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens
by: Clinton, Joseph, et al.
Published: (2024)

Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
by: Ni, Tianwei, et al.
Published: (2025)

Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
by: Jing, Tan, et al.
Published: (2025)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2026)

Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding
by: He, Shenghong, et al.
Published: (2024)

Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning
by: Xu, Duo, et al.
Published: (2024)

H$^2$R: Hierarchical Hindsight Reflection for Multi-Task LLM Agents
by: Ye, Shicheng, et al.
Published: (2025)

Offline Reinforcement Learning with Universal Horizon Models
by: Chung, Hojun, et al.
Published: (2026)

Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
by: Kim, Jeonghye, et al.
Published: (2024)

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
by: Myers, Vivek, et al.
Published: (2025)

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
by: Wang, Vivienne Huiling, et al.
Published: (2025)

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
by: He, Jinmin, et al.
Published: (2025)

Horizon Reduction as Information Loss in Offline Reinforcement Learning
by: Nidadala, Uday Kumar, et al.
Published: (2025)