Cover Image

Planner-Admissible Graph-PDE Value Extensions for Sparse Goal-Conditioned Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Zhang, Shiheng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
by: Rens, Gavin B.
Published: (2025)

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

Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
by: Zhang, Shuyuan, et al.
Published: (2025)

GenPlan: Generative Sequence Models as Adaptive Planners
by: Karthikeyan, Akash, et al.
Published: (2024)

Symbolic Graph Networks for Robust PDE Discovery from Noisy Sparse Data
by: Chen, Xingyu, et al.
Published: (2026)

Choosing a Classical Planner with Graph Neural Networks
by: Vatter, Jana, et al.
Published: (2024)

Incoherence in Goal-Conditioned Autoregressive Models
by: Karwowski, Jacek, et al.
Published: (2025)

Backward Learning for Goal-Conditioned Policies
by: Höftmann, Marc, et al.
Published: (2023)

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
by: Li, Zhonghao, et al.
Published: (2026)

Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory Planning
by: Guillen-Perez, Antonio
Published: (2025)

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

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

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

Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
by: Zhou, Hang, et al.
Published: (2024)

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

OGBench: Benchmarking Offline Goal-Conditioned RL
by: Park, Seohong, et al.
Published: (2024)

Accelerating Goal-Conditioned RL Algorithms and Research
by: Bortkiewicz, Michał, et al.
Published: (2024)

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
by: Chuck, Caleb, et al.
Published: (2025)

Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
by: Szarvas, Bálint László, et al.
Published: (2025)

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles
by: Samiuddin, Jilan, et al.
Published: (2024)

SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
by: Tiofack, Franki Nguimatsia, et al.
Published: (2026)

Goal-Conditioned Agents that Learn Everything All at Once
by: Matthews, Michael, et al.
Published: (2026)

Goal-Conditioned Supervised Learning for LLM Fine-Tuning
by: Li, Shijun, et al.
Published: (2026)

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

Learning Admissible Heuristics for A*: Theory and Practice
by: Futuhi, Ehsan, et al.
Published: (2025)

GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
by: Koupaï, Armand Kassaï, et al.
Published: (2024)

DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving
by: Yoo, Seungwoo, et al.
Published: (2026)

Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner
by: Li, Kenneth, et al.
Published: (2024)

Sparse Decomposition of Graph Neural Networks
by: Hu, Yaochen, et al.
Published: (2024)

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving
by: Zimmer, Matthieu, et al.
Published: (2025)

Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation
by: Vaidheeswaran, Vaishnav, et al.
Published: (2025)

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

Retrosynthetic Planning with Dual Value Networks
by: Liu, Guoqing, et al.
Published: (2023)

Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback
by: Zhang, Zeqiang, et al.
Published: (2025)

Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
by: Chen, Yanan, et al.
Published: (2024)

Why Goal-Conditioned Reinforcement Learning Works: Relation to Dual Control
by: Lawrence, Nathan P., et al.
Published: (2025)

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

Where to Add PDE Diffusion in Transformers
by: Zhang, Yukun, et al.
Published: (2025)

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

Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN
by: Taufeeque, Mohammad, et al.
Published: (2025)