Thomas Lampe

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代表论文

1. 1
   Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

   510 次引用 · 2017
2. 2
   Learning by Playing - Solving Sparse Reward Tasks from Scratch

   155 次引用 · 2018
3. 3
   Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

   118 次引用 · 2017
4. 4
   Acquiring visual servoing reaching and grasping skills using neural reinforcement learning

   64 次引用 · 2013
5. 5
   Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

   56 次引用 · 2020
6. 6
   Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning

   55 次引用 · 2020
7. 7
   Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

   48 次引用 · 2020
8. 8
   A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping

   31 次引用 · 2014
9. 9
   Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics

   27 次引用 · 2020
10. 10
    Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer

    16 次引用 · 2019

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