Abbeel, Pieter

Denoising Diffusion Probabilistic Models

Ho, J., Jain, A., & Abbeel, P. (2020) · arXiv

Epigenetics and DNA MethylationGene expression and cancer classification

Cited by 8,712

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

Soft actor-critic Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Haarnoja, T., Zhou, A., Abbeel, P., & Levine, S. (2018) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 5,594

Trust region policy optimization

Schulman, J., Levine, S., Moritz, P., Jordan, M. I., & Abbeel, P. (2015) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 4,578

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Lowe, R., Wu, Y., Tamar, A., Harb, J., Abbeel, P., & Mordatch, I. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 3,377

Domain randomization for transferring deep neural networks from simulation to the real world

Tobin, J., Fong, R., Ray, A., Schneider, J., Zaremba, W., & Abbeel, P. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 3,124

High-Dimensional Continuous Control Using Generalized Advantage Estimation

Schulman, J., Moritz, P., Levine, S., Jordan, M., & Abbeel, P. (2015) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 2,103

Soft Actor-Critic Algorithms and Applications

Haarnoja, T., Zhou, A., Hartikainen, K., Tucker, G., Ha, S., Tan, J., Kumar, V., Zhu, H., Gupta, A., Abbeel, P., et al. (2018) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 1,994

Bottleneck Transformers for Visual Recognition

Srinivas, A., Lin, T.-Y., Parmar, N., Shlens, J., Abbeel, P., & Vaswani, A. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,385

Hindsight experience replay

Andrychowicz, M., Wolski, F., Ray, A., Schneider, J., Fong, R., Welinder, P., McGrew, B., Tobin, J., Abbeel, P., & Zaremba, W. (2017) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1,355

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

Peng, X. B., Andrychowicz, M., Zaremba, W., & Abbeel, P. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1,309

Benchmarking Deep Reinforcement Learning for Continuous Control

Duan, Y., Chen, X., Houthooft, R., Schulman, J., & Abbeel, P. (2016) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 1,114

The YCB object and model set: Towards common benchmarks for manipulation research

Calli, B., Singh, A., Walsman, A., Srinivasa, S., Abbeel, P., & Dollar, A. M. (2015) · 2015 International Conference on Advanced Robotics (ICAR)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 838

Constrained Policy Optimization

Achiam, J., Held, D., Tamar, A., & Abbeel, P. (2017) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 804

Evaluating Protein Transfer Learning with TAPE

Rao, R., Bhattacharya, N., Thomas, N., Duan, Y., Chen, X., Canny, J., Abbeel, P., & Song, Y. S. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 719

Overcoming Exploration in Reinforcement Learning with Demonstrations

Nair, A., McGrew, B., Andrychowicz, M., Zaremba, W., & Abbeel, P. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 712

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Zhang, T., McCarthy, Z., Jow, O., Lee, D., Chen, X., Goldberg, K., & Abbeel, P. (2017) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 618

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Zhang, T., McCarthy, Z., Jow, O., Lee, D., Chen, X., Goldberg, K., & Abbeel, P. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 609

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Duan, Y., Schulman, J., Chen, X., Bartlett, P. L., Sutskever, I., & Abbeel, P. (2016) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 503

Value Iteration Networks

Tamar, A., Wu, Y., Thomas, G., Levine, S., & Abbeel, P. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 484

Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search

Zhang, T., Kahn, G., Levine, S., & Abbeel, P. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 452

Emergence of grounded compositional language in multi-agent populations

Mordatch, I., & Abbeel, P. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Language and cultural evolutionMulti-Agent Systems and Negotiation

Cited by 440

Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding

Maitin-Shepard, J., Cusumano-Towner, M., Lei, J., & Abbeel, P. (2010) · 2010 IEEE International Conference on Robotics and Automation

Robot Manipulation and LearningAdvanced Vision and Imaging

Cited by 418

Cooperative Inverse Reinforcement Learning

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

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 413