Cover Image

HEAT:History-Enhanced Dual-phase Actor-Critic Algorithm with A Shared Transformer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Yang, Hong
Format:	Preprint
Published:	2025
Subjects:	Networking and Internet Architecture Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Agent Actor-Critic with Harmonic Annealing Pruning for Dynamic Spectrum Access Systems
by: Stamatelis, George, et al.
Published: (2025)

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

Image Transformation for IoT Time-Series Data: A Review
by: Altunkaya, Duygu, et al.
Published: (2023)

Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization
by: Salvatori, Matteo, et al.
Published: (2026)

Algorithm for AGC index management against crowded radio environment
by: Joly, Morgane, et al.
Published: (2024)

Text2Net: Transforming Plain-text To A Dynamic Interactive Network Simulation Environment
by: Marefat, Alireza, et al.
Published: (2025)

Attention Beyond Neighborhoods: Reviving Transformer for Graph Clustering
by: Xie, Xuanting, et al.
Published: (2025)

NetGPT: Generative Pretrained Transformer for Network Traffic
by: Meng, Xuying, et al.
Published: (2023)

To Theoretically Understand Transformer-Based In-Context Learning for Optimizing CSMA
by: Hao, Shugang, et al.
Published: (2025)

Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
by: Lin, ChungYi, et al.
Published: (2024)

RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning
by: Güemes-Palau, Carlos, et al.
Published: (2025)

AI-Enhanced Distributed Channel Access for Collision Avoidance in Future Wi-Fi 8
by: Pan, Jinzhe, et al.
Published: (2025)

Online Learning-based Adaptive Beam Switching for 6G Networks: Enhancing Efficiency and Resilience
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2025)

Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework
by: Park, Yu Min, et al.
Published: (2025)

A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation
by: Zhang, Yuxin, et al.
Published: (2025)

MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
by: Ma, Hui, et al.
Published: (2025)

A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
by: Huang, Wenjun, et al.
Published: (2024)

SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
by: Lin, Zehang, et al.
Published: (2025)

Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
by: Zhang, Zifan, et al.
Published: (2025)

Enabling Near-realtime Remote Sensing via Satellite-Ground Collaboration of Large Vision-Language Models
by: Li, Zihan, et al.
Published: (2025)

Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models
by: Yang, Ze, et al.
Published: (2025)

Fine-Grained AI Model Caching and Downloading With Coordinated Multipoint Broadcasting in Multi-Cell Edge Networks
by: Fu, Yang, et al.
Published: (2025)

MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models
by: Jin, Lyudong, et al.
Published: (2025)

Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection
by: Wang, Weixing, et al.
Published: (2024)

Generative AI Enabled Matching for 6G Multiple Access
by: Wang, Xudong, et al.
Published: (2024)

Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting
by: Li, Zechen, et al.
Published: (2025)

Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
by: Kok, Ibrahim, et al.
Published: (2022)

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
by: Wang, Xubin, et al.
Published: (2025)

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
by: Qu, Guanqiao, et al.
Published: (2024)

A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
by: Homaei, Mohammadhossein, et al.
Published: (2025)

SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments
by: Okada, Yuya, et al.
Published: (2025)

A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks
by: Ak, Elif, et al.
Published: (2024)

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
by: Xu, Minrui, et al.
Published: (2024)

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

RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning
by: Jurado-Lasso, F. Fernando, et al.
Published: (2026)

Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach
by: Wen, Chaozheng, et al.
Published: (2024)

Rail-only: A Low-Cost High-Performance Network for Training LLMs with Trillion Parameters
by: Wang, Weiyang, et al.
Published: (2023)

Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G
by: Saad, Walid, et al.
Published: (2024)

A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networks
by: Salem, Sajjad, et al.
Published: (2024)

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
by: Liu, Qinshuo, et al.
Published: (2025)