| Research  |

Artificial Intelligence | Reinforcement Learning | Human-AI Teaming | eXplainable AI

| Research

| Publications

Journal

[J3] H. Wu, A. Ghadami, and B. I. Epureanu, "Dynamic task planning for autonomous reconfigurable manufacturing systems by knowledge-based multi-agent reinforcement learning," CIRP Annals - Manufacturing Technology, 2024.

[J2] H. Wu, A. Ghadami, A. E. Bayrak, J. M. Smereka, and B. I. Epureanu, "Evaluating Emergent Coordination in Multi-Agent Task Allocation through Causal Inference and Sub-Team Identification," IEEE Robotics and Automation Letters, vol. 8, no. 2, pp. 728-735, Feb. 2023. [Open Access]

[J1] --------, "Impact of Heterogeneity and Risk Aversion on Task Allocation in Multi-Agent Teams," IEEE Robotics and Automation Letters, vol. 6, no. 4, pp. 7065-7072, Oct. 2021. [Presented Virtually at 2021 IROS, Prague, Czech Republic] [Open Access]

Conference

[C4] H. Wu, S. Sharma, S. Patra, and S. Gopalakrishnan, "SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies," The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024, Vancouver, Canada. [Oral Presentation 2%] [Preprint Version]

[C3] H. Wu, P. Sequeira, and D. V. Pynadath, "Multiagent Inverse Reinforcement Learning via Theory of Mind," The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS'23), 2023, London, UK. [Full Text] [Preprint Version]

[C2] H. Wu, C. C. Folks, A. E. Bayrak, J. M. Smereka, and B. I. Epureanu, "Human-Autonomy Teaming in Immersive Environments," 2022 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), 2022, Orlando, FL. [Full Text]

[C1] H. Wu, A. Ghadami, A. E. Bayrak, J. M. Smereka, and B. I. Epureanu, "Task Allocation with Load Management in Multi-Agent Teams," 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 8823-8830, Philadelphia, PA. [Preprint Version]

Thesis

[T1] H. Wu, "Collision Avoidance Driving Control for Highway Traffic Simulators," Schreyer Honors Thesis, Dept. of Mechanical Engineering, Pennsylvania State University, University Park, PA, May 2018.

Awards

Michigan Institute for Computational Discovery and Engienering (MICDE) Fellowship, University of Michigan, 2023

Seminars & Symposiums & Workshops

International Workshop on Explainable AI in Finance, ACM International Conference on AI in Finance (ICAIF), 2023

Automotive Research Center, University of Michigan

Engineering Research Symposium, University of Michigan

Michigan AI Symposium

| Projects

Accelerated RRT* by Local Directional Visibility

 [arxiv] [github]

Learning Collaborative Task Allocation with Human Decision-Makers

[Report] [github]

Bayesian Reinforcement Learning under Uncertain Transition Dynamics

[Report] [github]