| 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 | 23 | 2019 |
| Scaling Imitation Learning in Minecraft A Amiranashvili, N Dorka, W Burgard, V Koltun, T Brox arXiv preprint arXiv:2007.02701, 2020 | 16 | 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 | 6 | 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 |
| Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting N Dorka, T Welschehold, W Burgard International Conference on Learning Representations (ICLR), 2023 | 1 | 2023 |
| 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 | | 2023 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergBestätigte E-Mail-Adresse bei utn.de
