Jonathan How
Richard C. Maclaurin Professor of Aeronautics and Astronautics, Department of Aeronautics and Astronautics

Jonathan P. How is the Richard C. Maclaurin Professor of Aeronautics and Astronautics in MIT’s Department of Aeronautics and Astronautics. His research interests include navigation and control; design and implementation of distributed robust planning algorithms to coordinate multiple autonomous vehicles in dynamic uncertain environments; adaptive flight control to enable autonomous agile flight and aerobatics and experimental and theoretical robust control. He is a fellow of the American Institute of Aeronautics and Astronautics (AIAA) and the Institute of Electrical and Electronics Engineers, and has received the 2020 AIAA Intelligent Systems Award. He earned a BS from the University of Toronto, and an MS and PhD from MIT.
Selected Publications
- Kim, D.K., Riemer, M., Liu, M., Foerster, J., Everett, M., Sun, C., Tesauro, G., How, J.P. (2022) Influencing long-term behavior in multiagent reinforcement learning. Advances in Neural Information Processing Systems 35, 18808-18821
- Sun, C., Kim, D.K., How, J.P (2022) ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. The International Conference on Robotics and Automation (ICRA)
- Tagliabue, A., Kim, D.K.,Everett, M., How, J.P (2022) Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC, 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 462-468, doi: 10.1109/ICRA46639.2022.9812122.
- Kim, D. K., Liu, M., Omidshafiei, S., Lopez-Cot, S., Riemer, M., Habibi, G., Tesauro, G., Mourad, S., Campbell, M., How, J. (2020). Learning Hierarchical Teaching Policies for Cooperative Agents. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Videos