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2009.01196
Cited By
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
Conference on Robot Learning (CoRL), 2020
2 September 2020
M. Pereira
Ziyi Wang
Ioannis Exarchos
Evangelos A. Theodorou
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Papers citing
"Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs"
25 / 25 papers shown
Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
Hijaz Ahmad
Ehsan Sabouni
Alexander Wasilkoff
Param Budhraja
Zijian Guo
Songyuan Zhang
Chuchu Fan
Christos G. Cassandras
Wenchao Li
365
3
0
20 Jul 2025
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
Zhuoyuan Wang
Albert Chern
Yorie Nakahira
505
4
0
11 Jul 2024
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning
Wei Xiao
Tsun-Hsuan Wang
Daniela Rus
OffRL
313
2
0
18 Jun 2024
CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov Functions
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Kazuki Mizuta
Karen Leung
339
32
0
08 Jun 2024
Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
Zhuoyuan Wang
Haoming Jing
Christian Kurniawan
Albert Chern
Yorie Nakahira
430
3
0
23 Apr 2024
Constrained Reinforcement Learning with Smoothed Log Barrier Function
Baohe Zhang
Yuan Zhang
Lilli Frison
Thomas Brox
Joschka Bödecker
285
16
0
21 Mar 2024
Almost-Sure Safety Guarantees of Stochastic Zero-Control Barrier Functions Do Not Hold
Oswin So
Andrew Clark
Chuchu Fan
235
16
0
05 Dec 2023
Non-smooth Control Barrier Functions for Stochastic Dynamical Systems
European Control Conference (ECC), 2023
Matti Vahs
Jana Tumova
243
6
0
12 Sep 2023
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
International Conference on Learning Representations (ICLR), 2023
Wei Xiao
Tsun-Hsuan Wang
Chuang Gan
Daniela Rus
DiffM
295
74
0
31 May 2023
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
Conference on Learning for Dynamics & Control (L4DC), 2023
Zhuoyuan Wang
Yorie Nakahira
OOD
207
8
0
10 May 2023
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
IEEE Robotics and Automation Letters (RA-L), 2023
Kazumi Kasaura
Shuwa Miura
Tadashi Kozuno
Ryo Yonetani
Kenta Hoshino
Y. Hosoe
207
21
0
18 Apr 2023
Safe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrier Functions
IEEE Robotics and Automation Letters (RA-L), 2023
Bolun Dai
Rooholla Khorrambakht
Prashanth Krishnamurthy
V. Gonccalves
Anthony Tzes
Farshad Khorrami
343
51
0
17 Apr 2023
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
AAAI Conference on Artificial Intelligence (AAAI), 2022
Thom S. Badings
Licio Romao
Alessandro Abate
N. Jansen
229
31
0
12 Oct 2022
On the Forward Invariance of Neural ODEs
International Conference on Machine Learning (ICML), 2022
Wei Xiao
Tsun-Hsuan Wang
Ramin Hasani
Mathias Lechner
Yutong Ban
Chuang Gan
Daniela Rus
261
11
0
10 Oct 2022
Differentiable Safe Controller Design through Control Barrier Functions
IEEE Control Systems Letters (L-CSS), 2022
Shuo Yang
Shaoru Chen
V. Preciado
Rahul Mangharam
431
21
0
20 Sep 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving
Wei Xiao
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
256
30
0
04 Mar 2022
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM
M. Pereira
A. Saravanos
Oswin So
Evangelos A. Theodorou
281
19
0
22 Feb 2022
BarrierNet: A Safety-Guaranteed Layer for Neural Networks
Wei Xiao
Ramin Hasani
Xiao Li
Daniela Rus
251
22
0
22 Nov 2021
Continuous-Time Fitted Value Iteration for Robust Policies
M. Lutter
Boris Belousov
Shie Mannor
Dieter Fox
Animesh Garg
Jan Peters
260
10
0
05 Oct 2021
Deep
L
1
\mathcal{L}^1
L
1
Stochastic Optimal Control Policies for Planetary Soft-landing
M. Pereira
Camilo A. Duarte
Ioannis Exarchos
Evangelos A. Theodorou
122
4
0
01 Sep 2021
Safety Embedded Differential Dynamic Programming Using Discrete Barrier States
IEEE Robotics and Automation Letters (RA-L), 2021
Hassan Almubarak
Kyle Stachowicz
N. Sadegh
Evangelos A. Theodorou
339
38
0
30 May 2021
Robust Value Iteration for Continuous Control Tasks
M. Lutter
Shie Mannor
Jan Peters
Dieter Fox
Animesh Garg
198
19
0
25 May 2021
Value Iteration in Continuous Actions, States and Time
International Conference on Machine Learning (ICML), 2021
M. Lutter
Shie Mannor
Jan Peters
Dieter Fox
Animesh Garg
160
40
0
10 May 2021
Control Barriers in Bayesian Learning of System Dynamics
IEEE Transactions on Automatic Control (TAC), 2020
Vikas Dhiman
M. J. Khojasteh
M. Franceschetti
Nikolay Atanasov
421
81
0
29 Dec 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
Ioannis Exarchos
M. Pereira
Ziyi Wang
Evangelos A. Theodorou
298
4
0
22 Jun 2020
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