Chelsea Finn

72 papers and 2.6k indexed citations i.

Chelsea Finn has authored 72 papers that have received a total of 2.6k indexed citations. This includes 59 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 25 papers in Control and Systems Engineering. The topics of these papers are Reinforcement Learning in Robotics (37 papers), Domain Adaptation and Few-Shot Learning (27 papers) and Robot Manipulation and Learning (25 papers). Chelsea Finn is often cited by papers focused on Reinforcement Learning in Robotics (37 papers), Domain Adaptation and Few-Shot Learning (27 papers) and Robot Manipulation and Learning (25 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Chelsea Finn's co-authors include Sergey Levine, Pieter Abbeel, Suraj Nair, Trevor Darrell and Frederik Ebert and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and The International Journal of Robotics Research