I’m a third-year Ph.D. student at Boston University Center for Computing and Data Sciences where I’m fortunate to be advised by Aldo Pacchiano. Previously, I did my master in the Robotics Department at the University of Michigan. I also spent time in Honda Research Institute US as a Research Intern in Summer 2022

My research focuses on Sequential Decision Making, particularly in the areas of Reinforcement Learning and Bandits. I am especially interested in developing and analyzing adaptive algorithms that perform well in non-stationary environments.

Publications

• Alessio Russo, Yichen Song, Aldo Pacchiano, Pure exploration with feedback graphs, International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
• Hongyu Zhou, Yichen Song, Vasileios Tzoumas, Safe non-stochastic control of control-affine systems: An online convex optimization approach, IEEE Robotics and Automation Letters (RA-L), 2023.