Abbeel, Pieter

Inverse Reward Design

Hadfield-Menell, D., Milli, S., Abbeel, P., Russell, S., & Dragan, A. (2017) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 125

Decoupling Representation Learning from Reinforcement Learning

Stooke, A., Lee, K., Abbeel, P., & Laskin, M. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 123

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation

Yan, W., Vangipuram, A., Abbeel, P., & Pinto, L. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 122

The Off-Switch Game

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2016) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 119

The Off-Switch Game

Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 119

Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work

Singh, A., Karayev, S., Gutowski, K., & Abbeel, P. (2017) · Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale

Educational Technology and AssessmentOnline Learning and Analytics

Cited by 113

Frozen Pretrained Transformers as Universal Computation Engines

Lu, K., Grover, A., Abbeel, P., & Mordatch, I. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 113

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

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos

Smith, L., Dhawan, N., Zhang, M., Abbeel, P., & Levine, S. (2020) · Robotics: Science and Systems XVI

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 102

Establishing Appropriate Trust via Critical States

Huang, S. H., Bhatia, K., Abbeel, P., & Dragan, A. D. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Social Robot Interaction and HRIHuman-Automation Interaction and Safety

Cited by 94

DayDreamer: World Models for Physical Robot Learning

Wu, P., Escontrela, A., Hafner, D., Goldberg, K., & Abbeel, P. (2022) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 76

Some Considerations on Learning to Explore via Meta-Reinforcement Learning

Stadie, B. C., Yang, G., Houthooft, R., Chen, X., Duan, Y., Wu, Y., Abbeel, P., & Sutskever, I. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 74

Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation

Patil, S., Kahn, G., Laskey, M., Schulman, J., Goldberg, K., & Abbeel, P. (2015) · Springer Tracts in Advanced Robotics

Robotic Path Planning AlgorithmsReinforcement Learning in Robotics

Cited by 72

Mastering Atari Games with Limited Data

Ye, W., Liu, S., Kurutach, T., Abbeel, P., & Gao, Y. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 68

Foundation Models for Decision Making: Problems, Methods, and Opportunities

Yang, S., Nachum, O., Du, Y., Wei, J., Abbeel, P., & Schuurmans, D. (2023) · arXiv

Multimodal Machine Learning ApplicationsAI-based Problem Solving and Planning

Cited by 60

Where are we in the search for an artificial visual cortex for embodied intelligence

Majumdar, A., Yadav, K., Arnaud, S., Ma, J., Chen, C., Silwal, S., Jain, A., Berges, V.-P., Wu, T., Vakil, J., et al. (2023) · Advances in Neural Information Processing Systems 36

Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience

Cited by 49

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Majumdar, A., Yadav, K., Arnaud, S., Ma, Y. J., Chen, C., Silwal, S., Jain, A., Berges, V.-P., Abbeel, P., Malik, J., et al. (2023) · arXiv

Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience

Cited by 49

The False Promise of Imitating Proprietary LLMs

Gudibande, A., Wallace, E., Snell, C., Geng, X., Liu, H., Abbeel, P., Levine, S., & Song, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 48

Visual imitation made easy

Young, S., Gandhi, D., Tulsiani, S., Gupta, A., Abbeel, P., & Pinto, L. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 42

Interactive Task Planning with Language Models

Li, B., Wu, P., Abbeel, P., & Malik, J. (2023) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 41

Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects

Huang, S. H., Pan, J., Mulcaire, G., & Abbeel, P. (2015) · 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 39

The limits and potentials of deep learning for robotics

Sünderhauf, N., Brock, O., Scheirer, W., Hadsell, R., Fox, D., Leitner, J., Upcroft, B., Abbeel, P., Burgard, W., Milford, M., et al. (2018) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 38

APS: Active Pretraining with Successor Features

Liu, H., & Abbeel, P. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 35

Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects

Lee, A. X., Huang, S. H., Hadfield-Menell, D., Tzeng, E., & Abbeel, P. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 32