Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. - Jingwei Zhang 001; Niklas Wetzel; Nicolai Dorka; Joschka Boedecker; Wolfram Burgard (CoRR, 2019)

Modality-Buffet for Real-Time Object Detection. - Nicolai Dorka; Johannes Meyer; Wolfram Burgard (IROS, 2020)

Scaling Imitation Learning in Minecraft. - Artemij Amiranashvili; Nicolai Dorka; Wolfram Burgard; Vladlen Koltun; Thomas Brox (CoRR, 2020)

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. - Nicolai Dorka; Joschka Boedecker; Wolfram Burgard (CoRR, 2021)

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting. - Nicolai Dorka; Tim Welschehold; Wolfram Burgard (ICLR, 2023)

Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. - Johan Vertens; Nicolai Dorka; Tim Welschehold; Michael Thompson; Wolfram Burgard (IROS, 2023)

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. - Nicolai Dorka; Tim Welschehold; Joschka Bödecker; Wolfram Burgard (IEEE Robotics Autom. Lett., 2023)

Training a Vision Language Model as Smartphone Assistant. - Nicolai Dorka; Janusz Marecki; Ammar Anwar (CoRR, 2024)

Quantile Regression for Distributional Reward Models in RLHF. - Nicolai Dorka (CoRR, 2024)