Finn, Chelsea

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Finn, C., Abbeel, P., & Levine, S. (2017) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 8,512

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Unsupervised Learning for Physical Interaction through Video Prediction

Finn, C., Goodfellow, I., & Levine, S. (2016) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 759

Gradient Surgery for Multi-Task Learning

Yu, T., Kumar, S., Gupta, A., Levine, S., Hausman, K., & Finn, C. (2020) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 755

RT-1: Robotics Transformer for Real-World Control at Scale

Brohan, A., Brown, N., Carbajal, J., Chebotar, Y., Dabis, J., Finn, C., Gopalakrishnan, K., Hausman, K., Herzog, A., Hsu, J., et al. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 727

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Rafailov, R., Sharma, A., Mitchell, E., Manning, C. D., Ermon, S., & Finn, C. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 686

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Zhao, T., Kumar, V., Levine, S., & Finn, C. (2023) · Robotics: Science and Systems XIX

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 674

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Zhao, T. Z., Kumar, V., Levine, S., & Finn, C. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 673

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Ahn, M., Brohan, A., Brown, N., Chebotar, Y., Cortes, O., David, B., Finn, C., Fu, C., Gopalakrishnan, K., Hausman, K., et al. (2022) · arXiv

Smart Agriculture and AIAI-based Problem Solving and Planning

Cited by 624

Deep visual foresight for planning robot motion

Finn, C., & Levine, S. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 599

How to train your robot with deep reinforcement learning: Lessons we have learned

Ibarz, J., Tan, J., Finn, C., Kalakrishnan, M., Pastor, P., & Levine, S. (2021) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 570

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 518

R3M: A Universal Visual Representation for Robot Manipulation

Nair, S., Rajeswaran, A., Kumar, V., Finn, C., & Gupta, A. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 492

Model-Based Reinforcement Learning for Atari

Kaiser, L., Babaeizadeh, M., Milos, P., Osinski, B., Campbell, R. H., Czechowski, K., Erhan, D., Finn, C., Kozakowski, P., Levine, S., et al. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 467

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Yu, T., Quillen, D., He, Z., Julian, R., Narayan, A., Shively, H., Bellathur, A., Hausman, K., Finn, C., & Levine, S. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 450

Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning

Nagabandi, A., Clavera, I., Liu, S., Fearing, R. S., Abbeel, P., Levine, S., & Finn, C. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 370

One-Shot Visual Imitation Learning via Meta-Learning

Finn, C., Yu, T., Zhang, T., Abbeel, P., & Levine, S. (2017) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 341

Probabilistic Model-Agnostic Meta-Learning

Finn, C., Xu, K., & Levine, S. (2018) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 327

π₀: A Vision-Language-Action Flow Model for General Robot Control

Black, K., Brown, N., Driess, D., Esmail, A., Equi, M., Finn, C., Fusai, N., Groom, L., Hausman, K., Ichter, B., et al. (2025) · Robotics: Science and Systems XXI

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 295

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Rafailov, R., Sharma, A., Mitchell, E., Ermon, S., Manning, C. D., & Finn, C. (2023) · arXiv

Ethics and Social Impacts of AIEmbodied and Extended Cognition

Cited by 293

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Brohan, A., Brown, N., Carbajal, J., Chebotar, Y., Chen, X., Choromanski, K., Ding, T., Driess, D., Dubey, A., Finn, C., et al. (2023) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 276

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

MEMO: Test Time Robustness Via Adaptation and Augmentation

Zhang, M., Levine, S., & Finn, C. (2022) · Advances in Neural Information Processing Systems 35

Software Testing and Debugging TechniquesAdversarial Robustness in Machine Learning

Cited by 189

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning

Jang, E., Irpan, A., Khansari, M., Kappler, D., Ebert, F., Lynch, C., Levine, S., & Finn, C. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 167