Reinforcement Learning

Scalable Node-Level Vaccine Allocation on Contact Networks: Bridging Optimal Control and Reinforcement Learning
Scalable Node-Level Vaccine Allocation on Contact Networks: Bridging Optimal Control and Reinforcement Learning

Master's thesis. A scalable framework for per-individual vaccine allocation on heterogeneous contact networks, comparing group-level optimal control with hub-aware heuristics against end-to-end reinforcement learning on a stochastic SEPAILHRVD simulator.

Apr 23, 2026

RL-Enhanced Disturbance-Aware MPC for Robust UAV Trajectory Tracking
RL-Enhanced Disturbance-Aware MPC for Robust UAV Trajectory Tracking

开发了一种混合控制框架，将强化学习和滑模观测器集成到 MPC 中，实现扰动感知的 UAV 轨迹跟踪。

May 7, 2025

RL-Enhanced Disturbance-Aware MPC for Robust UAV Trajectory Tracking
RL-Enhanced Disturbance-Aware MPC for Robust UAV Trajectory Tracking

Developed a hybrid control framework integrating reinforcement learning and sliding mode observer into MPC for disturbance-aware UAV tracking.

May 7, 2025

基于 Reinforcement Learning 的接触网络随机疫苗分配策略
基于 Reinforcement Learning 的接触网络随机疫苗分配策略

将确定性最优控制与 Reinforcement Learning 相结合，开发了个体级接触网络上的随机疫苗分配策略，实现了鲁棒的疫情响应建模。

Mar 17, 2025

RL for Stochastic Vaccine Allocation on Contact Networks
RL for Stochastic Vaccine Allocation on Contact Networks

Bridged deterministic optimal control and reinforcement learning to develop a stochastic vaccine allocation strategy on individual-level contact networks, enabling robust pandemic response modeling.

Mar 17, 2025