3 papers
cs.MA2025
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
Shahbaz P Qadri Syed, He Bai
The empirical success of multi-agent reinforcement learning (MARL) has motivated the search for more efficient and scalable algorithms for large scale multi-agent systems. However,…
eess.SY2025
Approximate constrained stochastic optimal control via parameterized input inference
Shahbaz P Qadri Syed, He Bai
Approximate methods to solve stochastic optimal control (SOC) problems have received significant interest from researchers in the past decade. Probabilistic inference approaches to…
eess.SY2025
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
Shahbaz P Qadri Syed, He Bai
Developing scalable and efficient reinforcement learning algorithms for cooperative multi-agent control has received significant attention over the past years. Existing literature…