Chelsea Finn - Concepedia

Author

Chelsea Finn

University of California, Berkeley ORCID

Also Known As

C. Finn, C. W. P. Finn, Chelsea Finn, Finn, Chelsea, Hartikainen, Kristian, Kollar, Thomas, Kolter, J. Zico, Sadigh, Dorsa, Wang, Andrew, Xia, Fei

408

Publications

26K

Citations

H-Index

179

Concepts

All Affiliations

University of California, Berkeley Stanford University Google (United States)University of Washington

About

Chelsea Finn is an author at University of California, Berkeley specializing in engineering, machine learning, and artificial intelligence.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	57	140	23.4K
2	Health Sciences	9	9	949
3	Education	8	8	437
4	Language Studies	6	6	903
5	Management	6	6	2.5K

Chelsea Finn

182

Publications

25.2K

Citations

H-Index

Page 1

	Year	Citations
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn, Pieter Abbeel, Sergey Levine arXiv (Cornell University) Artificial IntelligenceFew-shot LearningFast AdaptationMachine VisionMachine Learning	2017	5.8K
On the Opportunities and Risks of Foundation Models Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAi FoundationAi Safety	2021	2.1K
End-to-end training of deep visuomotor policies Sergey Levine, Chelsea Finn, Trevor Darrell, Journal of Machine Learning Research Artificial IntelligenceEngineeringMachine LearningDexterous ManipulationIntelligent Robotics	2016	1.7K
End-to-End Training of Deep Visuomotor Policies Sergey Levine, Chelsea Finn, Trevor Darrell, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDexterous ManipulationIntelligent Robotics	2015	1.4K
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn, Pieter Abbeel, Sergey Levine arXiv (Cornell University) Artificial IntelligenceFew-shot LearningFast AdaptationMachine VisionMachine Learning	2017	797
Deep visual foresight for planning robot motion Chelsea Finn, Sergey Levine Artificial IntelligenceHuman SupervisionEngineeringMachine LearningIntelligent Robotics	2017	620
How to train your robot with deep reinforcement learning: lessons we have learned Julian Ibarz, Jie Tan, Chelsea Finn, The International Journal of Robotics Research Artificial IntelligenceEngineeringMachine LearningReinforcement Learning (Computer Engineering)Deep Reinforcement Learning	2021	519
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael J. Ahn, Anthony Brohan, Noah Brown, arXiv (Cornell University) Artificial IntelligenceLanguage GroundingEngineeringRobotic AgentPsycholinguistics	2022	509
RT-1: Robotics Transformer for Real-World Control at Scale Anthony Brohan, Noah Brown, Justice Carbajal, Artificial IntelligenceFew-shot LearningRobotic SystemsEngineeringMachine Learning	2023	456
Model-Based Reinforcement Learning for Atari Łukasz Kaiser, Mohammad Babaeizadeh, Błażej Osiński, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMulti-agent LearningLearning Control	2019	420

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