Julian Ibarz

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研究焦点

主要成就

代表论文

1. 1
   QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

   575 次引用 · 2018
2. 2
   How to train your robot with deep reinforcement learning: lessons we have learned

   536 次引用 · 2021
3. 3
   Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

   516 次引用 · 2022
4. 4
   RT-1: Robotics Transformer for Real-World Control at Scale

   512 次引用 · 2023
5. 5
   Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones

   193 次引用 · 2021
6. 6
   RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real

   154 次引用 · 2020
7. 7
   Diversity is All You Need: Learning Skills without a Reward Function

   97 次引用 · 2018
8. 8
   Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

   61 次引用 · 2018
9. 9
   Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

   47 次引用 · 2018
10. 10
    End-to-End Learning of Semantic Grasping

    39 次引用 · 2017

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