2 papers
cs.LG2024
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach
Qiliang Chen, Babak Heydari
Effective governance and steering of behavior in complex multi-agent systems (MAS) are essential for managing system-wide outcomes, particularly in environments where interactions…
cs.LG2024
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning
Qiliang Chen, Babak Heydari
We introduce a framework that integrates variational autoencoders (VAE) with reinforcement learning (RL) to balance system performance and resource usage in multi-agent systems by…