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HJB Optimal Feedback Control with Deep Differential Value Functions and
  Action Constraints
v1v2 (latest)

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints

13 September 2019
M. Lutter
Boris Belousov
Kim D. Listmann
Debora Clever
Jan Peters
ArXiv (abs)PDFHTML

Papers citing "HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints"

5 / 5 papers shown
Title
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
M. Lutter
Christian Ritter
Jan Peters
PINNAI4CE
60
379
0
10 Jul 2019
Deep Lagrangian Networks for end-to-end learning of energy-based control
  for under-actuated systems
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems
M. Lutter
Kim D. Listmann
Jan Peters
PINN
66
75
0
10 Jul 2019
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
159
1,884
0
01 Aug 2018
Hidden Physics Models: Machine Learning of Nonlinear Partial
  Differential Equations
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
M. Raissi
George Karniadakis
AI4CEPINN
78
1,137
0
02 Aug 2017
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
202
938
0
07 Jul 2017
1