Cover Image

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zongyuan, Duan, Tianyang, Lin, Zheng, Huang, Dong, Fang, Zihan, Sun, Zekai, Xiong, Ling, Liang, Hongbin, Cui, Heming, Cui, Yong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Networking and Internet Architecture Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
by: Zhang, Zongyuan, et al.
Published: (2025)

FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing
by: Guan, Xiuxian, et al.
Published: (2026)

Sample Efficient Experience Replay in Non-stationary Environments
by: Duan, Tianyang, et al.
Published: (2025)

LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems
by: Duan, Tianyang, et al.
Published: (2025)

Transformer-Based Multipath Congestion Control: A Decoupled Approach for Wireless Uplinks
by: Zhang, Zongyuan, et al.
Published: (2026)

NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning
by: Fang, Zhen, et al.
Published: (2026)

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing
by: Sun, Zekai, et al.
Published: (2025)

Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing
by: Sun, Zekai, et al.
Published: (2025)

FIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering
by: Liu, Ximeng, et al.
Published: (2024)

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
by: Du, Hongyang, et al.
Published: (2023)

Reinforcement Learning With LLMs Interaction For Distributed Diffusion Model Services
by: Du, Hongyang, et al.
Published: (2023)

Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning
by: Wu, Junjie, et al.
Published: (2024)

Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning
by: Xie, Wenwen, et al.
Published: (2025)

Optimizing 6G Dense Network Deployment for the Metaverse Using Deep Reinforcement Learning
by: Zhang, Jie, et al.
Published: (2025)

CA3D: Computing Accessibility-Aware Cooperative 3D Deployment of Multiple UAVs
by: Deng, Yiqin, et al.
Published: (2026)

Design and Evaluation of an NDN-Based Network for Distributed Digital Twins
by: Chen, Chen, et al.
Published: (2025)

Zeropod: Simplifying Datacenter Networking with Future-Proof Zero-Buffer Packet Switches
by: Liang, Cong, et al.
Published: (2021)

AgentVNE: LLM-Augmented Graph Reinforcement Learning for Affinity-Aware Multi-Agent Placement in Edge Agentic AI
by: Zheng, Runze, et al.
Published: (2026)

Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method
by: Sun, Geng, et al.
Published: (2025)

Traffic Load-Aware Resource Management Strategy for Underwater Wireless Sensor Networks
by: Zhang, Tong, et al.
Published: (2025)

Semantic-Aware Caching for Efficient Image Generation in Edge Computing
by: Cui, Hanshuai, et al.
Published: (2025)

Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
by: Toopchinezhad, Mohammad Parsa, et al.
Published: (2024)

Joint QoS-Aware Scheduling and Precoding for Massive MIMO Systems via Deep Reinforcement Learning
by: Huang, Chih-Wei, et al.
Published: (2021)

A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers
by: Ketabi, Shiva, et al.
Published: (2023)

Multi-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning
by: Xie, Wenwen, et al.
Published: (2025)

Cost Optimization for Serverless Edge Computing with Budget Constraints using Deep Reinforcement Learning
by: Chen, Chen, et al.
Published: (2025)

Deep Diffusion Deterministic Policy Gradient based Performance Optimization for Wi-Fi Networks
by: Liu, Tie, et al.
Published: (2024)

Decision-Aware Semantic State Synchronization in Compute-First Networking
by: Qi, Jianpeng, et al.
Published: (2026)

Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles
by: Zhang, Cui, et al.
Published: (2025)

AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
by: Du, Chenguang, et al.
Published: (2025)

Applications of Multi-Agent Deep Reinforcement Learning Communication in Network Management: A Survey
by: Pi, Yue, et al.
Published: (2024)

Enhancing Vehicular Platooning with Wireless Federated Learning: A Resource-Aware Control Framework
by: Wu, Beining, et al.
Published: (2025)

Distributionally Robust Optimization for Computation Offloading in Aerial Access Networks
by: Jiang, Guanwang, et al.
Published: (2024)

Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks
by: Ye, Huaisheng, et al.
Published: (2026)

Federated Deep Reinforcement Learning-Based Intelligent Channel Access in Dense Wi-Fi Deployments
by: Du, Xinyang, et al.
Published: (2024)

Trajectory-Aware Air-to-Ground Channel Characterization for Low-Altitude UAVs Using MaMIMO Measurements
by: Saboor, Abdul, et al.
Published: (2025)

Network Intent Decomposition and Optimization for Energy-Aware Radio Access Network
by: Wang, Yao, et al.
Published: (2024)

K8S Power Irrigation: Deep Reinforcement Learning for Performance-Aware Power Efficiency of Kubernetes Cloud-Native Microservices
by: Bellal, Zouhir, et al.
Published: (2026)

NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network
by: Liang, Cong, et al.
Published: (2024)

Multi-Agent Deep Reinforcement Learning for Optimized Multi-UAV Coverage and Power-Efficient UE Connectivity
by: Cai, Xuli, et al.
Published: (2025)