Human-Feedback Shield Synthesis for Perceived Safety in Deep Reinforcement Learning. - Daniel Marta; Christian Pek; Gaspar Isaac Melsión; Jana Tumova; Iolanda Leite (IEEE Robotics Autom. Lett., 2022)

Aligning Human Preferences with Baseline Objectives in Reinforcement Learning. - Daniel Marta; Simon Holk; Christian Pek; Jana Tumova; Iolanda Leite (ICRA, 2023)

VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning. - Daniel Marta; Simon Holk; Christian Pek; Jana Tumova; Iolanda Leite (IROS, 2023)

PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning. - Simon Holk; Daniel Marta; Iolanda Leite (HRI, 2024)

POLITE: Preferences Combined with Highlights in Reinforcement Learning. - Simon Holk; Daniel Marta; Iolanda Leite (ICRA, 2024)

SEQUEL: Semi-Supervised Preference-based RL with Query Synthesis via Latent Interpolation. - Daniel Marta; Simon Holk; Christian Pek; Iolanda Leite (ICRA, 2024)

Shielding for Socially Appropriate Robot Listening Behaviors. - Sarah Gillet; Daniel Marta; Mohammed Akif; Iolanda Leite (RO-MAN, 2024)

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 (CoRR, 2025)

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 (CoRR, 2025)