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Information-theoretic Model Identification and Policy Search using
  Physics Engines with Application to Robotic Manipulation

Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation

22 March 2017
Shaojun Zhu
A. Kimmel
Abdeslam Boularias
ArXivPDFHTML

Papers citing "Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation"

5 / 5 papers shown
Title
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
382
441
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
533
1,410
0
01 Dec 2016
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
116
785
0
03 Oct 2016
A Comparative Evaluation of Approximate Probabilistic Simulation and
  Deep Neural Networks as Accounts of Human Physical Scene Understanding
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding
Renqiao Zhang
Jiajun Wu
Chengkai Zhang
William T. Freeman
J. Tenenbaum
54
49
0
04 May 2016
Entropy Search for Information-Efficient Global Optimization
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig
Christian J. Schuler
116
673
0
06 Dec 2011
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