Joschka Boedecker

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研究焦点

主要成就

代表论文

1. 1
   Deep reinforcement learning with successor features for navigation across similar environments

   283 次引用 · 2017
2. 2
   VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control

   107 次引用 · 2019
3. 3
   A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation

   70 次引用 · 2016
4. 4
   Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations

   51 次引用 · 2015
5. 5
   A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain–computer interfacing

   49 次引用 · 2019
6. 6
   Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation

   37 次引用 · 2022
7. 7
   Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning

   33 次引用 · 2020
8. 8
   Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

   33 次引用 · 2016
9. 9
   Affordance Learning from Play for Sample-Efficient Policy Learning

   29 次引用 · 2022
10. 10
    Flexible Coordination of Multiagent Team Behavior Using HTN Planning

    25 次引用 · 2006

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