Lerrel Pinto
Publications by Year
Research Areas
Robot Manipulation and Learning, Reinforcement Learning in Robotics, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications
Most-Cited Works
- → Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours(2016)1,089 cited
- → Robust Adversarial Reinforcement Learning(2017)383 cited
- → Learning to fly by crashing(2017)252 cited
- → Reinforcement Learning with Augmented Data(2020)246 cited
- → Learning to Manipulate Deformable Objects without Demonstrations(2020)163 cited
- → Asymmetric Actor Critic for Image-Based Robot Learning(2018)105 cited
- → The Surprising Effectiveness of Representation Learning for Visual Imitation(2022)80 cited
- → The Curious Robot: Learning Visual Representations via Physical Interactions(2016)77 cited
- → Learning Predictive Representations for Deformable Objects Using Contrastive Estimation(2020)75 cited
- → Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation(2023)68 cited