304 citations · 405 across the 25 of their papers we have counts for
6 papers · 1 filter
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach
Sihong He, Shuo Han, Fei Miao
Electric autonomous vehicles (EAVs) are getting attention in future autonomous mobility-on-demand (AMoD) systems due to their economic and societal benefits. However, EAVs' unique…
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He, Songyang Han, Sanbao Su +3
In real-world multi-agent reinforcement learning (MARL) applications, agents may not have perfect state information (e.g., due to inaccurate measurement or malicious attacks), whic…
Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach
Haoxiang Ma, Shuo Han, Charles A. Kamhoua +1
This paper is concerned with the optimal allocation of detection resources (sensors) to mitigate multi-stage attacks, in the presence of the defender's uncertainty in the attacker'…
Solving Strongly Convex and Smooth Stackelberg Games Without Modeling the Follower
Yansong Li, Shuo Han
Stackelberg games have been widely used to model interactive decision-making problems in a variety of domains such as energy systems, transportation, cybersecurity, and human-robot…
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs
Haoxiang Ma, Shuo Han, Nandi Leslie +2
This paper investigates the problem of synthesizing proactive defense systems in which the defender can allocate deceptive targets and modify the cost of actions for the attacker w…
Quantitative Planning with Action Deception in Concurrent Stochastic Games
Chongyang Shi, Shuo Han, Jie Fu
We study a class of two-player competitive concurrent stochastic games on graphs with reachability objectives. Specifically, player 1 aims to reach a subset of game states, a…