Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration J Zhang*, N Wetzel*, N Dorka*, J Boedecker, W Burgard arXiv preprint arXiv:1903.07400, 2019 | 26 | 2019 |
Scaling Imitation Learning in Minecraft A Amiranashvili*, N Dorka*, W Burgard, V Koltun, T Brox arXiv preprint arXiv:2007.02701, 2020 | 19 | 2020 |
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning N Dorka, T Welschehold, J Bödecker, W Burgard IEEE Robotics and Automation Letters 8 (2), 624-631, 2022 | 10 | 2022 |
Modality-Buffet for Real-Time Object Detection N Dorka, J Meyer, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2020 | 4 | 2020 |
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces J Vertens*, N Dorka*, T Welschehold, M Thompson, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 3 | 2023 |
Training a Vision Language Model as Smartphone Assistant N Dorka, J Marecki, A Anwar arXiv preprint arXiv:2404.08755, 2024 | 2 | 2024 |
What Matters in Employing Vision Language Models for Tokenizing Actions in Robot Control? N Dorka, C Huang, T Welschehold, W Burgard Workshop on Vision-Language Models for Navigation and Manipulation at ICRA 2024, 2024 | 1 | 2024 |
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting N Dorka, T Welschehold, W Burgard International Conference on Learning Representations (ICLR), 2023 | 1 | 2023 |
Quantile Regression for Distributional Reward Models in RLHF N Dorka arXiv preprint arXiv:2409.10164, 2024 | | 2024 |