WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments. - Finn Rietz; Alexander Sutherland; Suna Bensch; Stefan Wermter; Thomas Hellström (Frontiers Robotics AI, 2021)

Towards Task-Prioritized Policy Composition. - Finn Rietz; Erik Schaffernicht; Todor Stoyanov; Johannes A. Stork (CoRR, 2022)

Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer. - Finn Rietz; Johannes Andreas Stork (CoRR, 2023)

Hierarchical goals contextualize local reward decomposition explanations. - Finn Rietz; Sven Magg; Fredrik Heintz; Todor Stoyanov; Stefan Wermter; Johannes A. Stork (Neural Comput. Appl., 2023)

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. - Finn Rietz; Erik Schaffernicht; Stefan Heinrich; Johannes A. Stork (ICLR, 2024)

Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. - Finn Rietz; Erik Schaffernicht; Stefan Heinrich; Johannes A. Stork (CoRR, 2024)

Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits. - Finn Rietz; Oleg Smirnov; Sara Karimi; Lele Cao (CoRR, 2025)

Towards bandit-based prompt-tuning for in-the-wild foundation agents. - Finn Rietz; Oleg Smirnov; Sara Karimi; Lele Cao (CoRR, 2025)