1 citations · 1 across the 5 of their papers we have counts for
5 papers
Positional Attention-based Graph Neural Network for Learning Permutation Non-equivariant Wireless Policies
Baichuan Zhao, Chenyang Yang, Jianyu Zhao +1
Graph neural networks (GNNs) have emerged as a promising approach to learning wireless policies efficiently by leveraging topology prior and incorporating relational inductive bias…
Faster Adaptive Decentralized Learning Algorithms
Feihu Huang, Jianyu Zhao
Decentralized learning recently has received increasing attention in machine learning due to its advantages in implementation simplicity and system robustness, data privacy. Meanwh…
Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation
Jianyu Zhao, Chenyang Yang, Tingting Liu
Graph neural networks (GNNs) have been designed for learning a variety of wireless policies, i.e., the mappings from environment parameters to decision variables, thanks to their s…
Deep Reinforcement Learning with Symmetric Prior for Predictive Power Allocation to Mobile Users
Jianyu Zhao, Chenyang Yang
Deep reinforcement learning has been applied for a variety of wireless tasks, which is however known with high training and inference complexity. In this paper, we resort to deep d…
Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming
Dong Liu, Jianyu Zhao, Chenyang Yang +1
Predictive power allocation is conceived for energy-efficient video streaming over mobile networks using deep reinforcement learning. The goal is to minimize the accumulated energy…