引用次数
引用: 150,771
H-指数: 160
I10-指数 : 406
出版物: 965
Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces
Alexandre M. Bayen , Pieter Abbeel , Matei Zaharia , Tathagata Das
arXiv: Robotics
3
2012
Alpha-Beta Divergences Discover Micro and Macro Structures in Data
Pieter Abbeel , Ali Punjani , Karthik Narayan
international conference on machine learning 796 -804
1
2015
Arriving on time: estimating travel time distributions on large-scale road networks
Alexandre Bayen , Pieter Abbeel , Walid Krichene , Aude Hofleitner
arXiv: Learning
12
2013
Combinatorial Energy Learning for Image Segmentation
Pieter Abbeel , Jeremy Maitin-Shepard , Peter Li , Michal Januszewski
arXiv: Computer Vision and Pattern Recognition
2
2015
Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols.
Pieter Abbeel , Aaron M. Dollar , Siddhartha S. Srinivasa , Berk Çalli
arXiv: Robotics
218
2015
Link Prediction in Relational Data
Pieter Abbeel , Daphne Koller , Ben Taskar , Ming-fai Wong
neural information processing systems 16 659 -666
426
2003
Max-margin Classification of Data with Absent Features
Pieter Abbeel , Gal Elidan , Geremy Heitz , Daphne Koller
international conference on artificial intelligence and statistics 9 ( 1) 1 -21
118
2008
Discriminative Probabilistic Models for Relational Data
Pieter Abbeel , Daphne Koller , Ben Taskar
arXiv: Learning
19
2012
EfficientL 1 regularized logistic regression
Pieter Abbeel , Andrew Y. Ng , Honglak Lee , Sun-In Lee
national conference on artificial intelligence 401 -408
253
2006
Safe Exploration in Markov Decision Processes
Pieter Abbeel , Teodor M. Moldovan
international conference on machine learning 1451 -1458
54
2012
End-to-End Training of Deep Visuomotor Policies
Pieter Abbeel , Chelsea Finn , Sergey Levine , Trevor Darrell
arXiv: Learning
149
2015
Learning Deep Neural Network Policies with Continuous Memory States
Pieter Abbeel , Chelsea Finn , Sergey Levine , Marvin Zhang
arXiv: Learning
2
2015
Machine Learning for Helicopter Dynamics Models
Pieter Abbeel , Ali Punjani
2014
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors
Pieter Abbeel , Sergey Levine , Justin Fu
arXiv: Learning
5
2015
Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration
Pieter Abbeel , Teodor Moldovan , Sergey Levine , Sachin Patil
arXiv: Learning
1
2015
Deep Spatial Autoencoders for Visuomotor Learning
Pieter Abbeel , Chelsea Finn , Yan Duan , Sergey Levine
arXiv: Learning
25
2015
Load Balancing for Mobility-on-Demand Systems
Pieter Abbeel , Nicholas Roy , Hugh Durrant-Whyte
Other univ. web domain 249 -256
2012
Near Optimal Chernoff Bounds for Markov Decision Processes
Pieter Abbeel
neural information processing systems
2012
Apprenticeship learning and reinforcement learning with application to robotic control
Pieter Abbeel
Stanford University
62
2008
Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders.
Pieter Abbeel , Chelsea Finn , Yan Duan , Sergey Levine
35
2015