Nicolas Heess

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研究焦点

主要成就

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
   Reinforcement and Imitation Learning for Diverse Visuomotor Skills

   217 次引用 · 2018
3. 3
   Learning an Embedding Space for Transferable Robot Skills

   190 次引用 · 2018
4. 4
   dm_control: Software and tasks for continuous control

   186 次引用 · 2020
5. 5
   Learning by Playing - Solving Sparse Reward Tasks from Scratch

   155 次引用 · 2018
6. 6
   Learning agile soccer skills for a bipedal robot with deep reinforcement learning

   147 次引用 · 2024
7. 7
   Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

   118 次引用 · 2017
8. 8
   Reinforcement and Imitation Learning for Diverse Visuomotor Skills

   116 次引用 · 2018
9. 9
   Sim-to-Real Robot Learning from Pixels with Progressive Nets

   109 次引用 · 2016
10. 10
    Catch & Carry

    98 次引用 · 2020

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