ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1504.00702
  4. Cited By
End-to-End Training of Deep Visuomotor Policies
v1v2v3v4v5 (latest)

End-to-End Training of Deep Visuomotor Policies

2 April 2015
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
    BDL
ArXiv (abs)PDFHTML

Papers citing "End-to-End Training of Deep Visuomotor Policies"

25 / 1,175 papers shown
Title
Deep Exploration via Bootstrapped DQN
Deep Exploration via Bootstrapped DQN
Ian Osband
Charles Blundell
Alexander Pritzel
Benjamin Van Roy
142
1,315
0
15 Feb 2016
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
168
657
0
09 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
85
147
0
08 Feb 2016
Graying the black box: Understanding DQNs
Graying the black box: Understanding DQNs
Tom Zahavy
Nir Ben-Zrihem
Shie Mannor
88
263
0
08 Feb 2016
Ensemble Robustness and Generalization of Stochastic Deep Learning
  Algorithms
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms
Tom Zahavy
Bingyi Kang
Alex Sivak
Jiashi Feng
Huan Xu
Shie Mannor
OODAAML
112
12
0
07 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
464
8,902
0
04 Feb 2016
Memory-based control with recurrent neural networks
Memory-based control with recurrent neural networks
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
112
304
0
14 Dec 2015
Learning Visual Predictive Models of Physics for Playing Billiards
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki
Pulkit Agrawal
Sergey Levine
Jitendra Malik
103
261
0
23 Nov 2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Eric Tzeng
Coline Devin
Judy Hoffman
Chelsea Finn
Pieter Abbeel
Sergey Levine
Kate Saenko
Trevor Darrell
OOD
126
140
0
23 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
125
3,784
0
20 Nov 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
OffRL
160
600
0
19 Nov 2015
Neural network-based clustering using pairwise constraints
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu
Z. Kira
90
83
0
19 Nov 2015
Active Object Localization with Deep Reinforcement Learning
Active Object Localization with Deep Reinforcement Learning
Juan C. Caicedo
Svetlana Lazebnik
ObjD
76
445
0
18 Nov 2015
Deep Reinforcement Learning in Parameterized Action Space
Deep Reinforcement Learning in Parameterized Action Space
Matthew J. Hausknecht
Peter Stone
86
308
0
13 Nov 2015
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion
  Control
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang
Jurgen Leitner
Michael Milford
B. Upcroft
Peter Corke
88
275
0
12 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
92
302
0
31 Oct 2015
Data-Efficient Learning of Feedback Policies from Image Pixels using
  Deep Dynamical Models
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models
Yannis Assael
Niklas Wahlström
Thomas B. Schon
M. Deisenroth
84
38
0
08 Oct 2015
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation
  and Neural Network Priors
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors
Justin Fu
Sergey Levine
Pieter Abbeel
OffRL
68
160
0
23 Sep 2015
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700
  Robot Hours
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto
Abhinav Gupta
SSL
118
1,152
0
23 Sep 2015
Learning Deep Control Policies for Autonomous Aerial Vehicles with
  MPC-Guided Policy Search
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search
Tianhao Zhang
G. Kahn
Sergey Levine
Pieter Abbeel
104
428
0
22 Sep 2015
Deep Spatial Autoencoders for Visuomotor Learning
Deep Spatial Autoencoders for Visuomotor Learning
Chelsea Finn
X. Tan
Yan Duan
Trevor Darrell
Sergey Levine
Pieter Abbeel
SSL
110
552
0
21 Sep 2015
Compatible Value Gradients for Reinforcement Learning of Continuous Deep
  Policies
Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies
David Balduzzi
Muhammad Ghifary
76
33
0
10 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
456
13,349
0
09 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
176
847
0
24 Jun 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström
Thomas B. Schon
M. Deisenroth
87
189
0
08 Feb 2015
Previous
123...222324