Johannes Ackermann

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

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

I’m 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 interned at Preferred Networks and previously 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.