Shuo Han

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Markov Decision Process

Reinforcement Learning

Stochastic Games

Top Venues

Publications

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. 2024 (2024)
Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
Covert Planning aganist Imperfect Observers. AAMAS (2024)
Yansong Li, Shuo Han
Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity. AAMAS (2024)
Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han
Robust Reward Design for Markov Decision Processes. CoRR (2024)
Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. CoRR (2023)
Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
Covert Planning against Imperfect Observers. CoRR (2023)
Lening Li, Haoxiang Ma, Shuo Han, Jie Fu
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. ACC (2023)
Chongyang Shi, Shuo Han, Jie Fu
Quantitative Planning with Action Deception in Concurrent Stochastic Games. CoRR (2023)
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS (2023)
Sihong He, Shuo Han, Fei Miao
Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. 2023 (2023)
Sihong He, Shuo Han, Fei Miao
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR (2023)
Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu
Optimizing Sensor Allocation Against Attackers With Uncertain Intentions: A Worst-Case Regret Minimization Approach. IEEE Control. Syst. Lett. 7 (2023)
Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu
Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach. CoRR (2023)
Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. AAMAS (2023)
Yansong Li, Shuo Han
Solving Strongly Convex and Smooth Stackelberg Games Without Modeling the Follower. ACC (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR (2023)
Chongyang Shi, Shuo Han, Jie Fu
Quantitative Planning with Action Deception in Concurrent Stochastic Games. AAMAS (2023)
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR (2022)
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR (2022)
Shuo Han, George J. Pappas
Privacy in Control and Dynamical Systems. Annu. Rev. Control. Robotics Auton. Syst. 1 (2018)