Chelsea Finn
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Machine Learning and Data Classification
Most-Cited Works
- → Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks(2017)5,758 cited
- → On the Opportunities and Risks of Foundation Models(2021)2,134 cited
- End-to-end training of deep visuomotor policies(2016)
- → Deep visual foresight for planning robot motion(2017)623 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
- → Model-Based Reinforcement Learning for Atari(2019)420 cited