454 citations · 2.5k across the 163 of their papers we have counts for
3 papers · 1 filter
GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach
Kou Tian, Chentao Yue, Changyang She +2
This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code des…
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
Xin Hao, Phee Lep Yeoh, Changyang She +2
This paper proposes a blockchain-secured deep reinforcement learning (BC-DRL) optimization framework for {data management and} resource allocation in decentralized {wireless mobile…
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
Jiazheng Chen, Wanchun Liu, Daniel Quevedo +2
For cyber-physical systems in the 6G era, semantic communications connecting distributed devices for dynamic control and remote state estimation are required to guarantee applicati…