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Finn Rietz
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WoZ4U: an open-source wizard-of-oz interface for easy, efficient and robust HRI experiments
F Rietz, A Sutherland, S Bensch, S Wermter, T Hellström
Frontiers in Robotics and AI 8, 668057, 2021
36*2021
Hierarchical goals contextualize local reward decomposition explanations
F Rietz, S Magg, F Heintz, T Stoyanov, S Wermter, JA Stork
Neural Computing and Applications, 1-12, 2022
162022
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
F Rietz, S Heinrich, E Schaffernicht, JA Stork
The Twelfth International Conference on Learning Representations, 2023
12023
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies
F Rietz, E Schaffernicht, S Heinrich, JA Stork
Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and …, 2024
2024
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer
F Rietz, JA Stork
Third RL-Conform workshop at 2023 IEEE/RSJ International Conference on …, 2023
2023
Towards Task-Prioritized Policy Composition
F Rietz, E Schaffernicht, T Stoyanov, JA Stork
Second RL-Conform Workshop at 2022 IEEE/RSJ International Conference on …, 2022
2022
Explaining Deep Reinforcement Learning Agents Through Reward Decomposition and Hierarchical Goals
F Rietz
Universität Hamburg, 2021
2021
Scale Estimation in Visual Object Tracking
F Rietz
Universität Hamburg, 2019
2019
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Articles 1–8