| 2025 | ICRA | Flora: Sample-Efficient Preference-Based Rl Via Low-Rank Style Adaptation of Reward Functions. | Daniel Marta, Simon Holk, Miguel Vasco, Jens Lundell, Timon Homberger, Finn Busch, Olov Andersson, Danica Kragic, Iolanda Leite |
| 2025 | IROS | The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning. | Jorge de Heuvel, Daniel Marta, Simon Holk, Iolanda Leite, Maren Bennewitz |
| 2024 | HRI | PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning. | Simon Holk, Daniel Marta, Iolanda Leite |
| 2024 | ICRA | POLITE: Preferences Combined with Highlights in Reinforcement Learning. | Simon Holk, Daniel Marta, Iolanda Leite |
| 2024 | ICRA | SEQUEL: Semi-Supervised Preference-based RL with Query Synthesis via Latent Interpolation. | Daniel Marta, Simon Holk, Christian Pek, Iolanda Leite |
| 2024 | RO-MAN | Shielding for Socially Appropriate Robot Listening Behaviors. | Sarah Gillet, Daniel Marta, Mohammed Akif, Iolanda Leite |
| 2023 | ICRA | Aligning Human Preferences with Baseline Objectives in Reinforcement Learning. | Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite |
| 2023 | IROS | VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning. | Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite |