4 papers
Convexifying Mean-Field Control: An Occupation-Measure and Frank-Wolfe Approach
Di Yu, Sixiong You, Chaoying Pei
Large-scale robotic swarms motivate the use of mean-field control (MFC). Classical partial differential equation (PDE)-based formulations provide a principled framework but can bec…
An Occupation-Measure and Frank-Wolfe Framework for Heterogeneous Mean-Field Control
Di Yu, Sixiong You, Chaoying Pei
Heterogeneous mean-field control (MFC) involves multiple interacting populations with distinct dynamics, control constraints, and coupling structures. We develop a heterogeneous oc…
Occupation-Measure Mean-Field Control: Optimization over Measures and Frank-Wolfe Methods
Di Yu, Sixiong You, Chaoying Pei
Coordinating large populations of autonomous agents, such as UAV swarms or satellite constellations, poses significant computational challenges for traditional multi-agent control…
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach
Sungwook Yang, Chaoying Pei, Ran Dai +1
Sampling-based model predictive control (MPC) has found significant success in optimal control problems with non-smooth system dynamics and cost function. Many machine learning-bas…