Copertina

Model-free Reinforcement Learning of Semantic Communication by Stochastic Policy Gradient

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Beck, Edgar, Bockelmann, Carsten, Dekorsy, Armin
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Signal Processing Information Theory Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Semantic Communication for Cooperative Multi-Task Processing over Wireless Networks
di: Razlighi, Ahmad Halimi, et al.
Pubblicazione: (2024)

Cooperative and Collaborative Multi-Task Semantic Communication for Distributed Sources
di: Razlighi, Ahmad Halimi, et al.
Pubblicazione: (2024)

Semantic-Aware Task Clustering for Federated Cooperative Multi-Task Semantic Communication
di: Razlighi, Ahmad Halimi, et al.
Pubblicazione: (2026)

Semantic Communication for Cooperative Multi-Tasking over Rate-Limited Wireless Channels with Implicit Optimal Prior
di: Razlighi, Ahmad Halimi, et al.
Pubblicazione: (2025)

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks
di: Gautam, Pramesh, et al.
Pubblicazione: (2025)

CQI-Based Interference Prediction for Link Adaptation in Industrial Sub-networks
di: Gautam, Pramesh, et al.
Pubblicazione: (2025)

Instantaneous Bandwidth Estimation from Level-Crossing Samples via LSTM-based Encoder-Decoder Architecture
di: Königs, Johannes, et al.
Pubblicazione: (2024)

Semantic Communication for Task Execution and Data Reconstruction in Multi-User Scenarios
di: Tillmann, Maximilian H. V., et al.
Pubblicazione: (2025)

Model-Free Robust Beamforming in Satellite Downlink using Reinforcement Learning
di: Schröder, Alea, et al.
Pubblicazione: (2025)

Receiver-Centric Generative Semantic Communications
di: Liu, Xunze, et al.
Pubblicazione: (2024)

Dynamic Downlink-Uplink Spectrum Sharing between Terrestrial and Non-Terrestrial Networks
di: Mukherjee, Sourav, et al.
Pubblicazione: (2025)

Variational Source-Channel Coding for Semantic Communication
di: Feng, Yulong, et al.
Pubblicazione: (2024)

Adaptive Source-Channel Coding for Semantic Communications
di: Li, Dongxu, et al.
Pubblicazione: (2025)

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
di: Li, Dongxu, et al.
Pubblicazione: (2024)

Community Detection in the Multi-View Stochastic Block Model
di: Zhang, Yexin, et al.
Pubblicazione: (2024)

Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement Learning
di: Schröder, Alea, et al.
Pubblicazione: (2024)

Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
di: Qin, Hai-Long, et al.
Pubblicazione: (2025)

In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory
di: Zecchin, Matteo, et al.
Pubblicazione: (2025)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
di: Guo, Mingzhao, et al.
Pubblicazione: (2024)

Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework
di: Beck, Edgar, et al.
Pubblicazione: (2024)

Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
di: Yue, Yiyang, et al.
Pubblicazione: (2026)

Reinforcement Learning Based Goodput Maximization with Quantized Feedback in URLLC
di: Celebi, Hasan Basri, et al.
Pubblicazione: (2025)

Multi-Modal Semantic Communication
di: Mortaheb, Matin, et al.
Pubblicazione: (2025)

Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
di: Abrar, Muhammad Faraz Ul, et al.
Pubblicazione: (2024)

Neural Probabilistic Shaping: Joint Distribution Learning for Optical Fiber Communications
di: Askari, Mohammad Taha, et al.
Pubblicazione: (2025)

Novel Gradient Sparsification Algorithm via Bayesian Inference
di: Bereyhi, Ali, et al.
Pubblicazione: (2024)

Non-Coherent Over-the-Air Decentralized Gradient Descent
di: Michelusi, Nicolo'
Pubblicazione: (2022)

Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach
di: Yang, Dongdong, et al.
Pubblicazione: (2025)

$r$Age-$k$: Communication-Efficient Federated Learning Using Age Factor
di: Mortaheb, Matin, et al.
Pubblicazione: (2024)

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
di: Hu, Zihao, et al.
Pubblicazione: (2025)

A Reinforcement Learning Framework for Resource Allocation in Uplink Carrier Aggregation in the Presence of Self Interference
di: Bodempudi, Jaswanth, et al.
Pubblicazione: (2025)

GDM4MMIMO: Generative Diffusion Models for Massive MIMO Communications
di: Jin, Zhenzhou, et al.
Pubblicazione: (2024)

Regularized Top-$k$: A Bayesian Framework for Gradient Sparsification
di: Bereyhi, Ali, et al.
Pubblicazione: (2025)

ToDMA: Large Model-Driven Token-Domain Multiple Access for Semantic Communications
di: Qiao, Li, et al.
Pubblicazione: (2025)

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication
di: Nugroho, Vendi Ardianto, et al.
Pubblicazione: (2025)

Multi-level Reliability Interface for Semantic Communications over Wireless Networks
di: Tung, Tze-Yang, et al.
Pubblicazione: (2024)

A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent
di: Wang, Shuche, et al.
Pubblicazione: (2024)

Prediction-Powered Communication with Distortion Guarantees
di: Zecchin, Matteo, et al.
Pubblicazione: (2025)

Communication-Efficient Edge AI: Algorithms and Systems
di: Shi, Yuanming, et al.
Pubblicazione: (2020)

Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
di: Li, Hongru, et al.
Pubblicazione: (2024)