304 citations · 405 across the 25 of their papers we have counts for
5 papers · 1 filter
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Songyang Han, Sanbao Su, Sihong He +4
Various methods for Multi-Agent Reinforcement Learning (MARL) have been developed with the assumption that agents' policies are based on accurate state information. However, polici…
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Zhili Zhang, Shuo Han +5
Electric vehicles (EVs) are being rapidly adopted due to their economic and societal benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend. However, the lo…
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs
Lening Li, Haoxiang Ma, Shuo Han +1
This paper studies the deployment of joint moving target defense (MTD) and deception against multi-stage cyberattacks. Given the system equipped with MTD that randomizes between di…
Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks
Sumukha Udupa, Abhishek N. Kulkarni, Shuo Han +3
We consider the probabilistic planning problem for a defender (P1) who can jointly query the sensors and take control actions to reach a set of goal states while being aware of pos…
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective
Yansong Li, Shuo Han
We develop an algorithm that combines model-based and model-free methods for solving a nonlinear optimal control problem with a quadratic cost in which the system model is given by…