1 citations · 1 across the 4 of their papers we have counts for
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…
Learning-based Hamilton-Jacobi-Bellman Methods for Optimal Control
Sixiong You, Ran Dai, Ping Lu
Many optimal control problems are formulated as two point boundary value problems (TPBVPs) with conditions of optimality derived from the Hamilton-Jacobi-Bellman (HJB) equations. I…