Ali Gholamzadeh

Master student at Max Planck for Biological Cybernetics

prof_pic.jpg

I am a Master’s student in Neural Information Processing at the Max Planck Institute for Biological Cybernetics and University of Tübingen. I am working on my master’s thesis under the supervision of Dr. Noor Sajid and Prof. Peter Dayan . My thesis project explores how optimal transport theory can be applied to enable online transformation between distinct outcome modalities for downstream decision-making tasks.

My current interests lie mainly in Reinforcement Learning and improving current RL methods to enhance RL agents, by drawing insights from natural decision-making processes to potentially make them more generalizable and perform well in out-of-distribution scenarios and dynamic environments with a gradual increase in complexity.

news

Jul 2024 Selected to attend the Human-Aligned AI Summer School (HAAISS) 2024 in Prague.
May 2024 Teaching Assistant and part of the organizing team for the Systems Vision Science Summer School & Symposium 2024
Apr 2024 Starting my master’s project with Dr. Noor Sajid and Prof. Peter Dayan at the MPI for Biological Cybernetics.
Feb 2024 Selected to receive the one-year PhD funding of the IMPRS-MMFD program in 2024.

selected publications

  1. CCN2023
    Meta-cognitive Efficiency in Learned Value-based Choice
    S Ershadmanesh, A Gholamzadeh, K Desender, and P Dayan
    In Conference on Cognitive Computational Neuroscience (CCN) , 2023