Thomas Lampe

University of Freiburg, Google DeepMind (United Kingdom), Google (United Kingdom), ETH Zurich

Papers

26

Total Citations

1,352

H-Index

14

About

No biography available yet.

Research Focus

Artificial intelligence26 · 1,352 citations
Computer science26 · 1,352 citations
Reinforcement learning22 · 1,318 citations
Machine learning17 · 1,203 citations
Engineering11 · 1,130 citations
Robot17 · 953 citations
Task (project management)13 · 904 citations
Robotics8 · 695 citations
Object (grammar)2 · 526 citations
Systems engineering1 · 510 citations
Acceleration1 · 510 citations
Function (biology)1 · 510 citations

Key Achievements

14
H-Index
26
Papers
1,352
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
510 citations · 2017
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 166
🏛 Institutions: University of Freiburg, Google DeepMind (United Kingdom), Google (United Kingdom), ETH Zurich

Top Papers

  1. 1
    Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
    510 citations · 2017
  2. 2
    Learning by Playing - Solving Sparse Reward Tasks from Scratch
    155 citations · 2018
  3. 3
    Learning by Playing - Solving Sparse Reward Tasks from Scratch
    152 citations · 2018
  4. 4
    Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
    118 citations · 2017
  5. 5
    Acquiring visual servoing reaching and grasping skills using neural reinforcement learning
    64 citations · 2013
  6. 6
    Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
    56 citations · 2020
  7. 7
    Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning
    55 citations · 2020
  8. 8
    Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
    48 citations · 2020
  9. 9
    A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping
    31 citations · 2014
  10. 10
    Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
    27 citations · 2020

Key Collaborators

MRMartin Riedmiller21 shared papersNHNicolas Heess16 shared papersRHRoland Hafner16 shared papersAAAbbas Abdolmaleki16 shared papersMNMichael Neunert15 shared papersJTJost Tobias Springenberg15 shared papersFNFrancesco Nori9 shared papersTHTim Hertweck8 shared papersMWMarkus Wulfmeier7 shared papersNSNoah Siegel7 shared papersKBKonstantinos Bousmalis6 shared papersRJRae Jeong4 shared papersYZYuxiang Zhou4 shared papersAXAlex X. Lee4 shared papersABArunkumar Byravan4 shared papersCDColine Devin4 shared papersJKJackie Kay3 shared papersJEJosé Enrique Chen3 shared papersCFClaudio Fantacci3 shared papersDKDavid Khosid3 shared papers
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