Julian Ibarz
Google (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Handwritten Text Recognition Techniques, Natural Language Processing Techniques
Most-Cited Works
- → In-Datacenter Performance Analysis of a Tensor Processing Unit(2017)4,353 cited
- → QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation(2018)574 cited
- → How to train your robot with deep reinforcement learning: lessons we have learned(2021)523 cited
- → Do As I Can, Not As I Say: Grounding Language in Robotic Affordances(2022)512 cited
- → RT-1: Robotics Transformer for Real-World Control at Scale(2023)470 cited
- → Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks(2013)435 cited
- → Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones(2021)188 cited