Julian Ibarz

収録論文 19本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
  2023/9/1
• Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
  2023/5/1
• RT-1: Robotics Transformer for Real-World Control at Scale
  2022/12/1
• Token Turing Machines
  2022/11/1
• Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
  2022/4/1
• MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance
  2021/12/1
• Visionary: Vision architecture discovery for robot learning
  2021/3/1
• How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
  2021/2/1
• Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
  2020/10/1
• RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
  2020/6/1
• Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
  2020/4/1
• Off-Policy Evaluation via Off-Policy Classification
  2019/6/1
• Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
  2018/12/1
• QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
  2018/6/1
• Diversity is All You Need: Learning Skills without a Reward Function
  2018/2/1
• Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
  2018/2/1
• Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
  2017/11/1
• Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
  2017/9/1
• End-to-End Learning of Semantic Grasping
  2017/7/1