RL-X: A Deep Reinforcement Learning Library (Not Only) for RoboCup. - Nico Bohlinger; Klaus Dorer (RoboCup, 2023)

One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion. - Nico Bohlinger; Grzegorz Czechmanowski; Maciej Piotr Krupka; Piotr Kicki; Krzysztof Walas; Jan Peters 001; Davide Tateo (CoRL, 2024)

Massively Scaling Explicit Policy-conditioned Value Functions. - Nico Bohlinger; Jan Peters 001 (CoRR, 2025)

Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion. - Nico Bohlinger; Jonathan Kinzel; Daniel Palenicek; Lukasz Antczak; Jan Peters 001 (CoRR, 2025)

Robust Localization, Mapping, and Navigation for Quadruped Robots. - Dyuman Aditya; Junning Huang; Nico Bohlinger; Piotr Kicki; Krzysztof Walas; Jan Peters 001; Matteo Luperto; Davide Tateo (CoRR, 2025)

Towards Embodiment Scaling Laws in Robot Locomotion. - Bo Ai 008; Liu Dai; Nico Bohlinger; Dichen Li; Tongzhou Mu; Zhanxin Wu; K. Fay; Henrik I. Christensen; Jan Peters 001; Hao Su 001 (CoRR, 2025)