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Safe Optimal Control Using Stochastic Barrier Functions and Deep
  Forward-Backward SDEs

Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs

2 September 2020
M. Pereira
Ziyi Wang
Ioannis Exarchos
Evangelos A. Theodorou
ArXivPDFHTML

Papers citing "Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs"

10 / 10 papers shown
Title
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for
  End-to-End Learning and Control
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
Ioannis Exarchos
M. Pereira
Ziyi Wang
Evangelos A. Theodorou
45
4
0
22 Jun 2020
Neural Certificates for Safe Control Policies
Neural Certificates for Safe Control Policies
Wanxin Jin
Zhaoran Wang
Zhuoran Yang
Shaoshuai Mou
43
82
0
15 Jun 2020
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve
  Optimality?
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?
S. Gros
Mario Zanon
Alberto Bemporad
15
54
0
02 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
265
42,038
0
03 Dec 2019
Deep Forward-Backward SDEs for Min-max Control
Deep Forward-Backward SDEs for Min-max Control
Ziyi Wang
Keuntaek Lee
M. Pereira
Ioannis Exarchos
Evangelos A. Theodorou
29
14
0
11 Jun 2019
Deep 2FBSDEs For Systems With Control Multiplicative Noise
Deep 2FBSDEs For Systems With Control Multiplicative Noise
M. Pereira
Ziyi Wang
Tianrong Chen
Emily Reed
Evangelos A Theodorou
16
9
0
11 Jun 2019
Learning Deep Stochastic Optimal Control Policies using Forward-Backward
  SDEs
Learning Deep Stochastic Optimal Control Policies using Forward-Backward SDEs
M. Pereira
Ziyi Wang
Ioannis Exarchos
Evangelos A. Theodorou
37
44
0
11 Feb 2019
OptLayer - Practical Constrained Optimization for Deep Reinforcement
  Learning in the Real World
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
Tu-Hoa Pham
Giovanni De Magistris
Ryuki Tachibana
OffRL
27
141
0
22 Sep 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
134
952
0
01 Mar 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
844
149,474
0
22 Dec 2014
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