Cover Image

Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Haiyuan, Madhukumar, Hari, Li, Peizheng, Liu, Yuelin, Teng, Yiran, Wu, Yulei, Wang, Ning, Yan, Shuangyi, Simeonidou, Dimitra
Format:	Preprint
Published:	2024
Subjects:	Networking and Internet Architecture Artificial Intelligence Distributed, Parallel, and Cluster Computing Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Agentic AI for Fairness-Aware and Accelerated Multi-modal Large Model Inference in Real-world Mobile Edge Networks
by: Li, Haiyuan, et al.
Published: (2026)

Deadline-Driven Hierarchical Agentic Resource Sharing for AI Services and RAN Functions in AI-RAN
by: Li, Haiyuan, et al.
Published: (2026)

Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems
by: Parra-Ullauri, Juan Marcelo, et al.
Published: (2024)

SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy
by: Chen, Shuangyi, et al.
Published: (2024)

Skipper: Maximal Matching with a Single Pass over Edges
by: Esfahani, Mohsen Koohi
Published: (2025)

Accelerating OpenPangu Inference on NPU via Speculative Decoding
by: Dai, Yuntao, et al.
Published: (2026)

Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems
by: Pinto, Christian, et al.
Published: (2024)

Federated Transfer Component Analysis Towards Effective VNF Profiling
by: Zhang, Xunzheng, et al.
Published: (2024)

Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms
by: Takahashi, Keichi, et al.
Published: (2024)

DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management
by: Liu, Ao, et al.
Published: (2024)

MPI Malleability Validation under Replayed Real-World HPC Conditions
by: Iserte, S., et al.
Published: (2026)

Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning
by: Zhang, Tianru, et al.
Published: (2022)

Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads
by: Zojer, Patrick, et al.
Published: (2026)

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
by: Gao, Chuanchao, et al.
Published: (2025)

HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
by: Zhu, Jianyong, et al.
Published: (2026)

SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
by: Amrizal, Muhammad Alfian, et al.
Published: (2025)

Cooperative Inference with Interleaved Operator Partitioning for CNNs
by: Liu, Zhibang, et al.
Published: (2024)

Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA
by: Chen, Shuangyi, et al.
Published: (2024)

GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
by: Navardi, Mozhgan, et al.
Published: (2025)

Intent-based System Design and Operation
by: Anand, Vaastav, et al.
Published: (2025)

ICPS: Real-Time Resource Configuration for Cloud Serverless Functions Considering Affinity
by: Chen, Long, et al.
Published: (2025)

A Framework for Carbon-aware Real-Time Workload Management in Clouds using Renewables-driven Cores
by: Hewage, Tharindu B., et al.
Published: (2024)

PRISM: Dynamic Primitive-Based Forecasting for Large-Scale GPU Cluster Workloads
by: Wu, Xin, et al.
Published: (2026)

Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction
by: Wang, Xiaoye, et al.
Published: (2024)

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
by: Ochiai, Hideya, et al.
Published: (2024)

Building State Machine Replication Using Practical Network Synchrony
by: Wan, Yiliang, et al.
Published: (2025)

ReinFog: A Deep Reinforcement Learning Empowered Framework for Resource Management in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)

Xorbits: Automating Operator Tiling for Distributed Data Science
by: Lu, Weizheng, et al.
Published: (2023)

Managing Multi Instance GPUs for High Throughput and Energy Savings
by: Saraha, Abhijeet, et al.
Published: (2025)

ESS: An Offload-Centric Latent-Cache Management Architecture for DeepSeek-V3.2-Exp
by: Chen, Xinhang, et al.
Published: (2025)

Making Wide Stripes Practical: Cascaded Parity LRCs for Efficient Repair and High Reliability
by: Yu, Fan, et al.
Published: (2025)

MOSS: A Large-scale Open Microscopic Traffic Simulation System
by: Zhang, Jun, et al.
Published: (2024)

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
by: Li, Senyao, et al.
Published: (2025)

BE-RAN: Blockchain-enabled Open RAN for 6G with DID and Privacy-Preserving Communication
by: Xu, Hao, et al.
Published: (2021)

DHLink: A Microservice Platform supporting Rapid Application Development and Secure Real-time Data Sharing in Digital Health
by: Li, Wenhao, et al.
Published: (2021)

HuntMS: A Framework for Microservice Geo-Distribution for Carbon and Cost Reduction
by: Christofidi, Georgia, et al.
Published: (2026)

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations
by: Boito, Francieli, et al.
Published: (2024)

Transforming Future Data Center Operations and Management via Physical AI
by: Cao, Zhiwei, et al.
Published: (2025)

Reinforcement Learning-Based Dynamic Management of Structured Parallel Farm Skeletons on Serverless Platforms
by: Li, Lanpei, et al.
Published: (2026)

OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems
by: Peng, Ivy, et al.
Published: (2024)