Cover Image

Stochastic Path Planning in Correlated Obstacle Fields

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Li, Ceyhan, Elvan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving the Constrained Random Disambiguation Path Problem via Lagrangian Relaxation and Graph Reduction
by: Zhou, Li, et al.
Published: (2025)

Adversarial Obstacle Placement with Spatial Point Processes for Optimal Path Disruption
by: Zhou, Li, et al.
Published: (2025)

Prototype Selection Using Topological Data Analysis
by: Eckert, Jordan, et al.
Published: (2025)

Outlyingness Scores with Cluster Catch Digraphs
by: Shi, Rui, et al.
Published: (2025)

Outlier Detection with Cluster Catch Digraphs
by: Shi, Rui, et al.
Published: (2024)

Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
by: Shi, Rui, et al.
Published: (2025)

Preconditioners for the Stochastic Training of Neural Fields
by: Chng, Shin-Fang, et al.
Published: (2024)

Stochastic Preconditioning for Neural Field Optimization
by: Ling, Selena, et al.
Published: (2025)

Path Choice Matters for Clear Attribution in Path Methods
by: Zhang, Borui, et al.
Published: (2024)

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
by: Zhu, Jin, et al.
Published: (2025)

PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements
by: Thoma, Marios, et al.
Published: (2025)

A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
by: Abdelrahman, Ahmed Faisal, et al.
Published: (2024)

Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games
by: Yongacoglu, Bora, et al.
Published: (2021)

Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
by: Di, Qiwei, et al.
Published: (2024)

Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
by: Wu, Qizhen, et al.
Published: (2023)

Adversarial Graph Traversal
by: Banks, David, et al.
Published: (2026)

Harmonic Path Integral Diffusion
by: Behjoo, Hamidreza, et al.
Published: (2024)

Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)

Learning Social Cost Functions for Human-Aware Path Planning
by: Eirale, Andrea, et al.
Published: (2024)

Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
by: Zhou, Yuqing, et al.
Published: (2024)

Stochastic Shortest Path with Sparse Adversarial Costs
by: Johnson, Emmeran, et al.
Published: (2025)

Emergent Response Planning in LLMs
by: Dong, Zhichen, et al.
Published: (2025)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
by: Li, Qingbiao, et al.
Published: (2020)

ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records through ICD Path Generation
by: Zhou, Xiaofan
Published: (2023)

Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning
by: Cheriet, Hichem, et al.
Published: (2026)

Machine-Learned Sampling of Conditioned Path Measures
by: Jiang, Qijia, et al.
Published: (2025)

Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
by: Punyamoorty, Vineet, et al.
Published: (2024)

Regret Guarantees for Linear Contextual Stochastic Shortest Path
by: Polikar, Dor, et al.
Published: (2025)

Diffusion Path Samplers via Sequential Monte Carlo
by: Young, James Matthew, et al.
Published: (2026)

HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
by: Wang, Haoran, et al.
Published: (2024)

RobotDiffuse: Diffusion-Based Motion Planning for Redundant Manipulators with the ROP Obstacle Avoidance Dataset
by: Mou, Xudong, et al.
Published: (2024)

CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning
by: Sagar, Abhinav, et al.
Published: (2023)

DAA*: Deep Angular A Star for Image-based Path Planning
by: Xu, Zhiwei
Published: (2025)

The Illusion of Stochasticity in LLMs
by: Gu, Xiangming, et al.
Published: (2026)

Learning Paths for Dynamic Measure Transport: A Control Perspective
by: Maurais, Aimee, et al.
Published: (2025)

Convergent Reinforcement Learning Algorithms for Stochastic Shortest Path Problem
by: Guin, Soumyajit, et al.
Published: (2025)

Independent Component Analysis by Robust Distance Correlation
by: Leyder, Sarah, et al.
Published: (2025)

Stochastic Localization via Iterative Posterior Sampling
by: Grenioux, Louis, et al.
Published: (2024)

Quantifying and Attributing Submodel Uncertainty in Stochastic Simulation Models and Digital Twins
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)

The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination
by: Li, Zihao
Published: (2023)