引用次数
引用: 150,771
H-指数: 160
I10-指数 : 406
出版物: 965
Asymmetric Actor Critic for Image-Based Robot Learning
Pieter Abbeel , Marcin Andrychowicz , Peter Welinder , Lerrel Pinto
arXiv: Robotics
80
2017
Interpretable and Pedagogical Examples
Pieter Abbeel , Igor Mordatch , Smitha Milli
arXiv: Artificial Intelligence
9
2017
YCB Benchmarking Project : Object Set, Data Set and Their Applications (特集 ロボットマニピュレーション革命)
Pieter Abbeel , Aaron M. Dollar , Kurt Konolige , Berk Calli
Journal of the Society of Instrument and Control Engineers 56 ( 10) 792 -797
1
2017
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Pieter Abbeel , Sergey Levine , Tuomas Haarnoja , Aurick Zhou
arXiv: Learning
812
2018
Model-Ensemble Trust-Region Policy Optimization
Pieter Abbeel , Aviv Tamar , Yan Duan , Ignasi Clavera
arXiv: Learning
104
2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Pieter Abbeel , Chelsea Finn , Sergey Levine , Tianhao Zhang
arXiv: Learning
91
2018
Meta-Reinforcement Learning of Structured Exploration Strategies
Pieter Abbeel , Sergey Levine , Abhishek Gupta , YuXuan Liu
arXiv: Learning
75
2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Pieter Abbeel , Sergey Levine , Tuomas Haarnoja , Vitchyr Pong
arXiv: Learning
25
2018
Learning Robotic Assembly from CAD
Pieter Abbeel , Aviv Tamar , Garrett Thomas , Juan Aparicio Ojea
arXiv: Robotics
14
2018
Universal Planning Networks
Pieter Abbeel , Chelsea Finn , Sergey Levine , Allan Jabri
arXiv: Learning
95
2018
The Limits and Potentials of Deep Learning for Robotics
Dieter Fox , Oliver Brock , Pieter Abbeel , Peter Corke
arXiv: Robotics
6
2018
Learning factor graphs in polynomial time & sample complexity
Pieter Abbeel , Andrew Y. Ng , Daphne Koller
uncertainty in artificial intelligence 1 -9
10
2005
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
Pieter Abbeel , Sergey Levine , Abhishek Gupta , John D. Co-Reyes
arXiv: Learning
36
2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Pieter Abbeel , Laura Smith , Sergey Levine , Marvin Zhang
international conference on machine learning 7444 -7453
70
2018
Model-Based Reinforcement Learning via Meta-Policy Optimization
Pieter Abbeel , Tamim Asfour , John Schulman , Ignasi Clavera
Conference on Robot Learning 617 -629
77
2018
ProMP: Proximal Meta-Policy Search
Pieter Abbeel , Tamim Asfour , Ignasi Clavera , Jonas Rothfuss
arXiv: Learning
36
2018
Modular Architecture for StarCraft II with Deep Reinforcement Learning
Pieter Abbeel , Trevor Darrell , Huazhe Xu , Haoran Tang
arXiv: Artificial Intelligence
16
2018
Guiding Policies with Language via Meta-Learning
Pieter Abbeel , John DeNero , Sergey Levine , Jacob Andreas
arXiv: Learning
5
2018
Approximate Dynamic Programming
David Cohn , Jon Timmis , Sanjoy Dasgupta , Geoffrey I. Webb
1
2011
Learning generalized reactive policies using deep neural networks
Pieter Abbeel , Aviv Tamar , Siddharth Srivastava , Edward Groshev
international conference on automated planning and scheduling 408 -416
8
2018