Mark G. Pfeiffer

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研究焦点

主要成就

代表论文

1. 1
   From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots

   426 次引用 · 2017
2. 2
   Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations

   198 次引用 · 2018
3. 3
   Predicting actions to act predictably: Cooperative partial motion planning with maximum entropy models

   85 次引用 · 2016
4. 4
   Predicting Actions to Act Predictably: Cooperative Partial Motion Planning with Maximum Entropy Models

   55 次引用 · 2016
5. 5
   Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations

   16 次引用 · 2018
6. 6
   AMZ Driverless: The full autonomous racing system

   11 次引用 · 2020
7. 7
   A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments

   5 次引用 · 2018
8. 8
   Dynamic Objects Segmentation for Visual Localization in Urban Environments

   5 次引用 · 2018
9. 9
   Learning to Navigate: Data-driven Motion Planning for Autonomous Ground Robots

   2 次引用 · 2018

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