Cover Image

Cascade-Aware Multi-Agent Routing: Spatio-Temporal Sidecars and Geometry-Switching

Fuente: arXiv

Saved in:

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

Similar Items

Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure
by: Di Gioia, Davide
Published: (2026)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
by: Dong, Pingping, et al.
Published: (2024)

Advancing Routing-Awareness in Analog ICs Floorplanning
by: Basso, Davide, et al.
Published: (2025)

\textsc{MasFACT}: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer
by: Wang, Xuefei, et al.
Published: (2026)

Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
by: Sun, Tian, et al.
Published: (2025)

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware
by: Liu, Chaoqun, et al.
Published: (2024)

Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO
by: Sun, Jing
Published: (2026)

Spatio-Temporal Graph Unlearning
by: Guo, Qiming, et al.
Published: (2025)

Cognitive Friction: A Decision-Theoretic Framework for Bounded Deliberation in Tool-Using Agents
by: Di Gioia, Davide
Published: (2026)

SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation
by: Han, Bin, et al.
Published: (2023)

SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
by: Zou, Xiaobei, et al.
Published: (2023)

CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction
by: Fofanah, Abdul Joseph, et al.
Published: (2026)

Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
by: Lin, Jiaqi, et al.
Published: (2024)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
by: Miao, Hao, et al.
Published: (2024)

Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
by: Liu, Yao
Published: (2025)

Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
by: Yi, Zhongchao, et al.
Published: (2024)

Riemannian Liquid Spatio-Temporal Graph Network
by: Lu, Liangsi, et al.
Published: (2026)

Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)

TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
by: Ouyang, Jinhui, et al.
Published: (2024)

SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
by: Shen, Yuanzhe, et al.
Published: (2025)

Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)

Automated Spatio-Temporal Weather Modeling for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)

Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting
by: Ma, Hui, et al.
Published: (2026)

DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting
by: Cui, Wanna, et al.
Published: (2025)

RouteHijack: Routing-Aware Attack on Mixture-of-Experts LLMs
by: Xu, Zhiyuan, et al.
Published: (2026)

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance
by: Wu, Hao, et al.
Published: (2024)

UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
by: Chen, Wei, et al.
Published: (2026)

Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
by: Kheder, Ammar, et al.
Published: (2025)

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
by: Xu, Qianxiong, et al.
Published: (2023)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
by: Zhang, Haoyu, et al.
Published: (2025)

Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
by: Li, Zan, et al.
Published: (2025)

Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
by: Liu, Zibo, et al.
Published: (2024)

Spatio-Temporal Field Neural Networks for Air Quality Inference
by: Feng, Yutong, et al.
Published: (2024)

EasyST: A Simple Framework for Spatio-Temporal Prediction
by: Tang, Jiabin, et al.
Published: (2024)

PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting
by: Fofanah, Abdul Joseph, et al.
Published: (2026)

Spectral Geometry for Deep Learning: Compression and Hallucination Detection via Random Matrix Theory
by: Ettori, Davide
Published: (2026)

CAMAR: Continuous Actions Multi-Agent Routing
by: Pshenitsyn, Artem, et al.
Published: (2025)

Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
by: Chen, Runfei
Published: (2026)

Improving Spatio-Temporal Residual Error Propagation by Mitigating Over-Squashing
by: Moghadas, Seyed Mohamad, et al.
Published: (2026)