Aditya Mohan

I work on reinforcement learning agents that exploit the structure of real-world problems (context, temporal dependencies, modularity) to learn efficiently and generalize. Currently I focus on structured representations for offline RL and Behavior Foundation Models.

Before my PhD: B.Tech. in Electronics and Communications Engineering from Manipal Institute of Technology, a year as a Risk Consultant at KPMG, then an M.Sc. in Autonomous Systems from TU Berlin and EURECOM with a thesis on ad-hoc cooperation in Hanabi.

Beyond Research: I sing, play piano and guitar, and compose; I occasionally post music videos. I also enjoy cooking, reading and dancing. If you’d like to chat about research, music, food, or anything else, book a slot in my calendar.