Finn Rietz

11 papers A* 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
APC-RL: Exceeding Data-Driven Behavior Priors with Adaptive Policy Composition.
CoRR
Finn Rietz, Pedro Zuidberg Dos Martires, Johannes Andreas Stork
2026 J jnl
Progress Constraints for Reinforcement Learning in Behavior Trees.
CoRR
Finn Rietz, Mart Kartasev, Petter Ögren, Johannes A. Stork
2025 J jnl
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits.
CoRR
Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
2025 J jnl
Towards bandit-based prompt-tuning for in-the-wild foundation agents.
CoRR
Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
2024 A* conf
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning.
ICLR
Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
2024 J jnl
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies.
CoRR
Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
2023 J jnl
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer.
CoRR
Finn Rietz, Johannes Andreas Stork
2023 J jnl
Hierarchical goals contextualize local reward decomposition explanations.
Neural Comput. Appl.
Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork
2023 J jnl
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning.
CoRR
Finn Rietz, Stefan Heinrich, Erik Schaffernicht, Johannes Andreas Stork
2022 J jnl
Towards Task-Prioritized Policy Composition.
CoRR
Finn Rietz, Erik Schaffernicht, Todor Stoyanov, Johannes A. Stork
2021 J jnl
WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments.
Frontiers Robotics AI
Finn Rietz, Alexander Sutherland, Suna Bensch, Stefan Wermter, Thomas Hellström