Imagen de Portada

Reinforcement Learning-based Adaptive Path Selection for Programmable Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Torres, José Eduardo Zerna, Avgeris, Marios, Papagianni, Chrysa, Pongrácz, Gergely, Gódor, István, Grosso, Paola
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RAILS: Risk-Aware Iterated Local Search for Joint SLA Decomposition and Service Provider Management in Multi-Domain Networks
por: Hsu, Cyril Shih-Huan, et al.
Publicado: (2025)

V2N Service Scaling with Deep Reinforcement Learning
por: Hsu, Cyril Shih-Huan, et al.
Publicado: (2023)

Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning
por: Hsu, Cyril Shih-Huan, et al.
Publicado: (2025)

Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems
por: Hsu, Cyril Shih-Huan, et al.
Publicado: (2024)

Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models
por: Hsu, Cyril Shih-Huan, et al.
Publicado: (2026)

Deterministic and Probabilistic P4-Enabled Lightweight In-Band Network Telemetry
por: Papadopoulos, Konstantinos, et al.
Publicado: (2024)

MapViT: A Two-Stage ViT-Based Framework for Real-Time Radio Quality Map Prediction in Dynamic Environments
por: Hsu, Cyril Shih-Huan, et al.
Publicado: (2026)

Opinion-Guided Reinforcement Learning
por: Dagenais, Kyanna, et al.
Publicado: (2024)

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
por: Vincent, Théo, et al.
Publicado: (2024)

Optimizing Energy and Data Collection in UAV-aided IoT Networks using Attention-based Multi-Objective Reinforcement Learning
por: Toure, Babacar, et al.
Publicado: (2026)

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning
por: Vashisth, Apoorva, et al.
Publicado: (2024)

Learning When to Switch: Adaptive Policy Selection via Reinforcement Learning
por: Tava, Chris
Publicado: (2025)

A Reference Architecture of Reinforcement Learning Frameworks
por: Liu, Xiaoran, et al.
Publicado: (2026)

Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning
por: Moulin, Antoine, et al.
Publicado: (2025)

SLA Decomposition for Network Slicing: A Deep Neural Network Approach
por: Hsu, Cyril Shih-Huan, et al.
Publicado: (2024)

Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance
por: Dagenais, Kyanna, et al.
Publicado: (2025)

Autonomous Adaptive Solver Selection for Chemistry Integration via Reinforcement Learning
por: Ikponmwoba, Eloghosa, et al.
Publicado: (2026)

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent
por: Hoppmann, Björn, et al.
Publicado: (2026)

Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
por: Theile, Mirco, et al.
Publicado: (2024)

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
por: Fatemi, Michael Y., et al.
Publicado: (2024)

Reinforcement Learning the Chromatic Symmetric Function
por: Bérczi, Gergely, et al.
Publicado: (2024)

PathFinder: MCTS and LLM Feedback-based Path Selection for Multi-Hop Question Answering
por: Maram, Durga Prasad, et al.
Publicado: (2025)

Evaluating the Robustness of Reinforcement Learning based Adaptive Traffic Signal Control
por: Kwesiga, Dickens, et al.
Publicado: (2026)

Online Adaptive Reinforcement Learning with Echo State Networks for Non-Stationary Dynamics
por: Yoshimura, Aoi, et al.
Publicado: (2026)

Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning
por: Illian, Marvin, et al.
Publicado: (2026)

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare
por: Kokash, Natallia, et al.
Publicado: (2025)

Decision-Path Patterns as Tree Reliability Signals: Path-based Adaptive Weighting for Random Forest Classification
por: Park, Youngjoon
Publicado: (2026)

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

DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries
por: Mehra, Ashman, et al.
Publicado: (2023)

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
por: Yin, Huilin, et al.
Publicado: (2024)

A Transformer-Based Framework for Greek Sign Language Production using Extended Skeletal Motion Representations
por: Pratikaki, Chrysa, et al.
Publicado: (2025)

Distributional Reinforcement Learning on Path-dependent Options
por: Özsoy, Ahmet Umur
Publicado: (2025)

Personalized Path Recourse for Reinforcement Learning Agents
por: Hong, Dat, et al.
Publicado: (2023)

HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios
por: Jiang, Mingyang, et al.
Publicado: (2024)

Reinforcement Learning for Adaptive MCMC
por: Wang, Congye, et al.
Publicado: (2024)

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
por: Liu, Lunjun, et al.
Publicado: (2024)

DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks
por: Jeong, Eunjeong, et al.
Publicado: (2024)

Adaptive Active Learning for Regression via Reinforcement Learning
por: Nguyen, Simon D., et al.
Publicado: (2026)

Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
por: Vincent, Théo, et al.
Publicado: (2025)

Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning
por: Kar, Avik, et al.
Publicado: (2024)