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Vladlen Koltun
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Publications
- 2020
- [j48]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics 36(1): 1-14 (2020) - 2019
- [j46]Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter:
Learning agile and dynamic motor skills for legged robots. Sci. Robotics 4(26) (2019) - [c80]Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA 2019: 690-696 - [i51]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR abs/1901.03162 (2019) - [i50]Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter:
Learning agile and dynamic motor skills for legged robots. CoRR abs/1901.08652 (2019) - [i49]Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun:
Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR abs/1901.10915 (2019) - [i44]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR abs/1905.09727 (2019) - 2018
- [c76]Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun:
Driving Policy Transfer via Modularity and Abstraction. CoRL 2018: 1-15 - [c75]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL 2018: 133-145 - [c74]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL 2018: 156-168 - [c69]Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-Based Driving Models. ECCV (15) 2018: 246-262 - [c67]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) 2018 - [c65]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric topological memory for navigation. ICLR (Poster) 2018 - [c64]Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
End-to-End Driving Via Conditional Imitation Learning. ICRA 2018: 1-9 - [i35]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric Topological Memory for Navigation. CoRR abs/1803.00653 (2018) - [i32]Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun:
Driving Policy Transfer via Modularity and Abstraction. CoRR abs/1804.09364 (2018) - [i29]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR abs/1806.01175 (2018) - [i28]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR abs/1806.08548 (2018) - [i25]Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir:
On Evaluation of Embodied Navigation Agents. CoRR abs/1807.06757 (2018) - [i24]Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-based Driving Models. CoRR abs/1809.04843 (2018) - [i22]Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR abs/1810.06224 (2018) - 2017
- [c61]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRL 2017: 1-16 - [c53]Alexey Dosovitskiy, Vladlen Koltun:
Learning to Act by Predicting the Future. ICLR 2017 - [i11]Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun:
End-to-end Driving via Conditional Imitation Learning. CoRR abs/1710.02410 (2017) - [i10]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRR abs/1711.03938 (2017) - [i9]Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, Vladlen Koltun:
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. CoRR abs/1712.03931 (2017) - 2016
- [i4]Alexey Dosovitskiy, Vladlen Koltun:
Learning to Act by Predicting the Future. CoRR abs/1611.01779 (2016)
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