2 papers
cs.LG2026
GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
Yihong Zhou, Hongtai Zeng, Thomas Morstyn
Coordinating large populations of grid-edge devices requires learning methods that remain fully decentralised in deployment while still respecting three-phase AC distribution-netwo…
cs.AI2024
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
Hongtai Zeng, Chao Yang, Yanzhen Zhou +2
Ensuring that the outputs of neural networks satisfy specific constraints is crucial for applying neural networks to real-life decision-making problems. In this paper, we consider…