Johannes Ackermann

I am a fourth-year PhD student at the University of Tokyo, working on Reinforcement Learning supervised by Professor Masashi Sugiyama.

I am particularly interested in how we can deal with changing or complicated reward functions and dynamics in RL, as encountered in Multi-Agent interaction, Multi-Task settings or due to Non-Stationarity.

I am also employed by RIKEN AIP as a part-time researcher and supported by a Japanese government MEXT scholarship, and a Microsoft Research Asia D-CORE grant.

I previously interned at Sakana AI in 2025 and at Preferred Networks in 2022. Previously I worked as a DSP researcher in Huawei’s Munich Research Center, working on applied Machine Learning. Before that, I received my B.Sc. and M.Sc. in Electrical Engineering and Information Technology from the Technical University of Munich in 2018 and 2021. I wrote my Master’s Thesis about Multi-Task RL in ETH Zurich’s Distributed Computing group.

I’m always happy to chat about research, so feel free to reach out by e-mail or socials!