Nicolai Dorka

12 papers A* 1A 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Quantile Regression for Distributional Reward Models in RLHF. CoRR Nicolai Dorka
2024	J	`jnl`	Training a Vision Language Model as Smartphone Assistant. CoRR Nicolai Dorka, Janusz Marecki, Ammar Anwar
2023	J	`jnl`	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Nicolai Dorka, Tim Welschehold, Joschka Bödecker, Wolfram Burgard
2023	A*	`conf`	Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting. ICLR Nicolai Dorka, Tim Welschehold, Wolfram Burgard
2023	J	`jnl`	Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting. CoRR Nicolai Dorka, Tim Welschehold, Wolfram Burgard
2023	A	`conf`	Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. IROS Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard
2023	J	`jnl`	Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. CoRR Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard
2021	J	`jnl`	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. CoRR Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
2020	A	`conf`	Modality-Buffet for Real-Time Object Detection. IROS Nicolai Dorka, Johannes Meyer, Wolfram Burgard
2020	J	`jnl`	Modality-Buffet for Real-Time Object Detection. CoRR Nicolai Dorka, Johannes Meyer, Wolfram Burgard
2020	J	`jnl`	Scaling Imitation Learning in Minecraft. CoRR Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox
2019	J	`jnl`	Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. CoRR Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard