Deep Heuristic Learning for Real-Time Urban Pathfinding
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | El-Ela, Mohamed Hussein Abo, Fergany, Ali Hamdi |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search
par: Agostinelli, Forest
Publié: (2026)
par: Agostinelli, Forest
Publié: (2026)
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems
par: Khandelwal, Vedant, et autres
Publié: (2024)
par: Khandelwal, Vedant, et autres
Publié: (2024)
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
par: Tang, Huijie, et autres
Publié: (2024)
par: Tang, Huijie, et autres
Publié: (2024)
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
par: Holliday, Andrew, et autres
Publié: (2024)
par: Holliday, Andrew, et autres
Publié: (2024)
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
par: Zhang, Cong, et autres
Publié: (2022)
par: Zhang, Cong, et autres
Publié: (2022)
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
par: Agostinelli, Forest, et autres
Publié: (2021)
par: Agostinelli, Forest, et autres
Publié: (2021)
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
par: EskandariNasab, MohammadReza, et autres
Publié: (2024)
par: EskandariNasab, MohammadReza, et autres
Publié: (2024)
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
par: Wasswa, Hassan, et autres
Publié: (2025)
par: Wasswa, Hassan, et autres
Publié: (2025)
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
par: Vural, Onur, et autres
Publié: (2024)
par: Vural, Onur, et autres
Publié: (2024)
High-dimensional Learning with Noisy Labels
par: Firdoussi, Aymane El, et autres
Publié: (2024)
par: Firdoussi, Aymane El, et autres
Publié: (2024)
Solving Collaborative Dec-POMDPs with Deep Reinforcement Learning Heuristics
par: Soffair, Nitsan
Publié: (2022)
par: Soffair, Nitsan
Publié: (2022)
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
par: Li, Peiyu, et autres
Publié: (2024)
par: Li, Peiyu, et autres
Publié: (2024)
Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series
par: Vural, Onur, et autres
Publié: (2025)
par: Vural, Onur, et autres
Publié: (2025)
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
par: Andreychuk, Anton, et autres
Publié: (2024)
par: Andreychuk, Anton, et autres
Publié: (2024)
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
par: Vyaltsev, Valeriy, et autres
Publié: (2026)
par: Vyaltsev, Valeriy, et autres
Publié: (2026)
Demystifying the Recency Heuristic in Temporal-Difference Learning
par: Daley, Brett, et autres
Publié: (2024)
par: Daley, Brett, et autres
Publié: (2024)
Learning Admissible Heuristics for A*: Theory and Practice
par: Futuhi, Ehsan, et autres
Publié: (2025)
par: Futuhi, Ehsan, et autres
Publié: (2025)
HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach
par: Lehna, Malte, et autres
Publié: (2024)
par: Lehna, Malte, et autres
Publié: (2024)
UPath: Universal Planner Across Topological Heterogeneity For Grid-Based Pathfinding
par: Ananikian, Aleksandr, et autres
Publié: (2026)
par: Ananikian, Aleksandr, et autres
Publié: (2026)
Enhancing Q-Learning with Large Language Model Heuristics
par: Wu, Xiefeng
Publié: (2024)
par: Wu, Xiefeng
Publié: (2024)
Heuristic Transformer: Belief Augmented In-Context Reinforcement Learning
par: Dippel, Oliver, et autres
Publié: (2025)
par: Dippel, Oliver, et autres
Publié: (2025)
GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
par: Alihodžić, Adis
Publié: (2026)
par: Alihodžić, Adis
Publié: (2026)
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
par: EskandariNasab, MohammadReza, et autres
Publié: (2025)
par: EskandariNasab, MohammadReza, et autres
Publié: (2025)
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability
par: Wang, Yixuan, et autres
Publié: (2024)
par: Wang, Yixuan, et autres
Publié: (2024)
Adaptive Variational Continual Learning via Task-Heuristic Modelling
par: Yang, Fan
Publié: (2024)
par: Yang, Fan
Publié: (2024)
Learning to Condition: A Neural Heuristic for Scalable MPE Inference
par: Malhotra, Brij, et autres
Publié: (2025)
par: Malhotra, Brij, et autres
Publié: (2025)
Green MLOps: Closed-Loop, Energy-Aware Inference with NVIDIA Triton, FastAPI, and Bio-Inspired Thresholding
par: Hamdi, Mustapha, et autres
Publié: (2026)
par: Hamdi, Mustapha, et autres
Publié: (2026)
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
par: EskandariNasab, MohammadReza, et autres
Publié: (2024)
par: EskandariNasab, MohammadReza, et autres
Publié: (2024)
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
par: Zou, Xingchen, et autres
Publié: (2024)
par: Zou, Xingchen, et autres
Publié: (2024)
MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations
par: Kim, Namwoo, et autres
Publié: (2025)
par: Kim, Namwoo, et autres
Publié: (2025)
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
par: Chung, Jaehoon, et autres
Publié: (2023)
par: Chung, Jaehoon, et autres
Publié: (2023)
Streaming Deep Reinforcement Learning Finally Works
par: Elsayed, Mohamed, et autres
Publié: (2024)
par: Elsayed, Mohamed, et autres
Publié: (2024)
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem
par: Liu, Huaiyuan, et autres
Publié: (2024)
par: Liu, Huaiyuan, et autres
Publié: (2024)
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
par: Narita, Minori, et autres
Publié: (2025)
par: Narita, Minori, et autres
Publié: (2025)
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
par: Wang, Jiaqi, et autres
Publié: (2026)
par: Wang, Jiaqi, et autres
Publié: (2026)
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
par: Bettker, R. V., et autres
Publié: (2022)
par: Bettker, R. V., et autres
Publié: (2022)
Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
par: Shao, Junli, et autres
Publié: (2025)
par: Shao, Junli, et autres
Publié: (2025)
Deep Reinforcement Learning in Action: Real-Time Control of Vortex-Induced Vibrations
par: Sababha, Hussam, et autres
Publié: (2025)
par: Sababha, Hussam, et autres
Publié: (2025)
Nested Learning: The Illusion of Deep Learning Architectures
par: Behrouz, Ali, et autres
Publié: (2025)
par: Behrouz, Ali, et autres
Publié: (2025)
Weight Clipping for Deep Continual and Reinforcement Learning
par: Elsayed, Mohamed, et autres
Publié: (2024)
par: Elsayed, Mohamed, et autres
Publié: (2024)
Documents similaires
-
The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search
par: Agostinelli, Forest
Publié: (2026) -
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems
par: Khandelwal, Vedant, et autres
Publié: (2024) -
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
par: Tang, Huijie, et autres
Publié: (2024) -
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
par: Holliday, Andrew, et autres
Publié: (2024) -
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
par: Zhang, Cong, et autres
Publié: (2022)