Google Scholar Profile
- 🔗 S. Li, Y. Zhou, R. Allen, M. J. Kochenderfer, “Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning”, in IEEE International Conference on Robotics and Automation (ICRA) 2022.
- 🔗 S. Li, J. K. Gupta, P. Morales, R. Allen, and M. J. Kochenderfer, “Deep implicit coordination graphs for multi-agent reinforcement learning,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021.
- 🔗 Y. Zhou, S. Manuel, P. Morales, S. Li, J. Pena, R. Allen, “Towards a distributed framework for multi-agent reinforcement learning research,” in IEEE High Performance Extreme Computing (HPEC), 2020
- 🔗 S. Li, M. Egorov, and M. J. Kochenderfer, “Analysis of fleet management and infrastructure constraints in on-demand urban air mobility operations”, AIAA AVIATION Forums, 2020. [Best Paper Award]
- 🔗 S. Li, M. Egorov, M. J. Kochenderfer, “Optimizing collision avoidance in dense airspace using deep reinforcement learning“, in Air Traffic Management Research and Development Seminar, 2019.
Other project papers are available here.