M.J. Tobia, R. Guo, U. Schwarze, W. Böhmer, J. Gläscher, B. Finckh, A. Marschner, C. Büchel, K. Obermayer, T. Sommer (2014), Neural systems for choice and valuation with counterfactual learning signals, In NeuroImage Volume 89 p.57-69.

Wendelin Böhmer, Steffen Grünewälder, Yun Shen, Marek Musial, Klaus Obermayer (2013), Construction of Approximation Spaces for Reinforcement Learning, In Journal of Machine Learning Research Volume 14 p.2067-2118.

Audrey Houillon, Robert Lorenz, Wendelin Böhmer, Michael Rapp, Andreas Heinz, Jürgen Gallinat Klaus, Klaus Obermayer (2013), The effect of novelty on reinforcement learning, In Progress in Brain Research Volume 202 p.415-439.

Wendelin Böhmer, Klaus Obermayer (2013), Towards Structural Generalization: Factored Approximate Planning, In ICRA Workshop on Autonomous Learning.

Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer (2012), Generating Feature Spaces for Linear Algorithms with Regularized Sparse Kernel Slow Feature Analysis, In Machine Learning Volume 89 p.67-86.

Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer (2011), Regularized Sparse Kernel Slow Feature Analysis, In Machine Learning and Knowledge Discovery in Databases, Part I p.235-248, Springer.