About me

My name is Jan Malte Lichtenberg and I'm an applied machine learning scientist at Amazon Music ML in Berlin, where I work on the fascinating topic of personalizing music recommendations. More specifically, I work on offline policy evaluation and learning how to rank items from different content types.

Previously I completed my PhD at the University of Bath, working on bounded rationality in reinforcement learning with Özgür Şimşek. Before that I worked at the Center for Adaptive Behaviour and Cognition, directed by Gerd Gigerenzer, at the Max-Planck Insitute for Human Development in Berlin.

In my research, I try to inform machine learning models with insights from human decision making research, in particular from the study of simple decision heuristics.  Have a look at my Google Scholar profile, my github, or my (outdated) CV.

You can email me at maltelichtenberg ~at~ gmail.com


Bounded Rationality in Reinforcement Learning
Jan Malte Lichtenberg
University of Bath, UK, 2023 [pdf]
Low-variance Estimation in the Plackett-Luce Model
via Quasi-Monte Carlo Sampling
Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, and Matteo Ruffini
SIGIR 2022 Workshop on Reaching Efficiency in Neural Information Retrieval, 2022 [pdf]
Regularization in Directable Environments with Application to Tetris
Jan Malte Lichtenberg and Özgür Şimşek
International Conference on Machine Learning (ICML), 2019
[pdf]  [code]
Iterative Policy Space Expansion for
Reinforcement Learning
Jan Malte Lichtenberg and Özgür Şimşek
NeurIPS workshop on Biological and Artificial Reinforcement Learning, 2019 [pdf]
Simple Regression Models,
Jan Malte Lichtenberg and Özgür Şimşek
Imperfect Decision Makers: Admitting Real-World Rationality, PMLR, 2017 [pdf]

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