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Reinforcement Learning for Safety-Critical Control under Model
  Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
v1v2 (latest)

Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

16 April 2020
Jason J. Choi
F. Castañeda
Claire Tomlin
Koushil Sreenath
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions"

50 / 100 papers shown
Online Learning-Enhanced High Order Adaptive Safety Control
Online Learning-Enhanced High Order Adaptive Safety Control
Lishuo Pan
Mattia Catellani
Thales C. Silva
Lorenzo Sabattini
Nora Ayanian
139
0
0
24 Nov 2025
Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
Maximilian Bloor
M. Mowbray
Ehecatl Antonio del Rio Chanona
Calvin Tsay
OffRL
178
0
0
28 Oct 2025
EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety Assessment
EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety Assessment
Inkyu Jang
Jonghae Park
Chams E. Mballo
Sihyun Cho
Claire J. Tomlin
H. J. Kim
259
0
0
22 Sep 2025
CLF-RL: Control Lyapunov Function Guided Reinforcement Learning
CLF-RL: Control Lyapunov Function Guided Reinforcement Learning
Kejun Li
Zachary Olkin
Yisong Yue
Aaron D. Ames
218
4
0
12 Aug 2025
End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy
End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy
Zifan Wang
X. Yang
Jianzhuang Zhao
Jiaming Zhou
Teli Ma
Ziyao Gao
Arash Ajoudani
Junwei Liang
177
3
0
11 Aug 2025
Learning Safe Control via On-the-Fly Bandit Exploration
Learning Safe Control via On-the-Fly Bandit Exploration
A. Capone
Ryan K. Cosner
Aaaron Ames
Sandra Hirche
324
0
0
12 Jun 2025
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
Alper Kamil Bozkurt
Calin Belta
Ming C. Lin
AI4CE
347
1
0
01 Jun 2025
ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation
ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation
Zhongquan Zhou
Shuhao Li
Zixian Yue
199
0
0
10 May 2025
FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation
FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects ManipulationConference on Robot Learning (CoRL), 2024
Yishu Li
Wen Hui Leng
Yiming Fang
Ben Eisner
David Held
AI4CE
541
9
0
31 Dec 2024
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRLOnRL
490
1
0
05 Dec 2024
Repairing Neural Networks for Safety in Robotic Systems using Predictive
  Models
Repairing Neural Networks for Safety in Robotic Systems using Predictive ModelsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
K. Majd
Geoffrey Clark
Georgios Fainekos
H. B. Amor
202
2
0
07 Nov 2024
Safety-critical Control with Control Barrier Functions: A Hierarchical
  Optimization Framework
Safety-critical Control with Control Barrier Functions: A Hierarchical Optimization Framework
Junjun Xie
Liang Hu
Jiahu Qin
Jun Yang
Huijun Gao
150
0
0
21 Oct 2024
Safe Navigation of Bipedal Robots via Koopman Operator-Based Model Predictive Control
Safe Navigation of Bipedal Robots via Koopman Operator-Based Model Predictive Control
J. Kim
Yunhai Han
Harish Ravichandar
Sehoon Ha
356
2
0
23 Sep 2024
Critic as Lyapunov function (CALF): a model-free, stability-ensuring
  agent
Critic as Lyapunov function (CALF): a model-free, stability-ensuring agentIEEE Conference on Decision and Control (CDC), 2024
Pavel Osinenko
Grigory Yaremenko
Roman Zashchitin
Anton Bolychev
Sinan Ibrahim
D. Dobriborsci
322
8
0
15 Sep 2024
Gait Switching and Enhanced Stabilization of Walking Robots with Deep
  Learning-based Reachability: A Case Study on Two-link Walker
Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link WalkerIEEE Conference on Decision and Control (CDC), 2024
Xingpeng Xia
Jason J. Choi
Ayush Agrawal
Koushil Sreenath
Claire J. Tomlin
Somil Bansal
254
1
0
10 Sep 2024
Neural Control Barrier Functions for Safe Navigation
Neural Control Barrier Functions for Safe NavigationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Marvin Harms
Mihir Kulkarni
Nikhil Khedekar
Martin Jacquet
Kostas Alexis
382
21
0
29 Jul 2024
FOSP: Fine-tuning Offline Safe Policy through World Models
FOSP: Fine-tuning Offline Safe Policy through World Models
Chenyang Cao
Yucheng Xin
Silang Wu
Longxiang He
Zichen Yan
Junbo Tan
Xueqian Wang
OffRL
469
3
0
06 Jul 2024
Verification and Synthesis of Compatible Control Lyapunov and Control
  Barrier Functions
Verification and Synthesis of Compatible Control Lyapunov and Control Barrier Functions
Hongkai Dai
Chuanrui Jiang
Hongchao Zhang
Andrew Clark
254
11
0
27 Jun 2024
Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates
Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates
Thom S. Badings
Wietze Koops
Sebastian Junges
Nils Jansen
530
0
0
02 Jun 2024
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov
  Barrier Certificates
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier CertificatesFormal Methods in Computer-Aided Design (FMCAD), 2024
Udayan Mandal
Guy Amir
Haoze Wu
Ieva Daukantas
Fletcher Lee Newell
...
Michael Durling
Milan Ganai
Tobey Shim
Guy Katz
Clark W. Barrett
230
20
0
22 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer
  Crashes
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
Kyle Stachowicz
Sergey Levine
317
10
0
07 May 2024
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive
  Control
Robust Model Based Reinforcement Learning Using L1\mathcal{L}_1L1​ Adaptive Control
Minjun Sung
Sambhu H. Karumanchi
Aditya Gahlawat
N. Hovakimyan
329
1
0
21 Mar 2024
Decomposing Control Lyapunov Functions for Efficient Reinforcement
  Learning
Decomposing Control Lyapunov Functions for Efficient Reinforcement LearningAmerican Control Conference (ACC), 2024
Antonio Lopez
David Fridovich-Keil
296
3
0
18 Mar 2024
Safety Filters for Black-Box Dynamical Systems by Learning
  Discriminating Hyperplanes
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes
Will Lavanakul
Jason J. Choi
Koushil Sreenath
Claire J. Tomlin
363
19
0
07 Feb 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion
  Model
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Yinan Zheng
Jianxiong Li
Dongjie Yu
Yujie Yang
Shengbo Eben Li
Xianyuan Zhan
Jingjing Liu
OffRL
318
66
0
19 Jan 2024
Meta-Learning-Based Adaptive Stability Certificates for Dynamical
  Systems
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
Amit Jena
D. Kalathil
Le Xie
232
5
0
23 Dec 2023
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee
  with Differentiable Convex Programming
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex ProgrammingAAAI Conference on Artificial Intelligence (AAAI), 2023
Minjae Cho
Chuangchuang Sun
283
9
0
15 Dec 2023
A Data-driven Method for Safety-critical Control: Designing Control
  Barrier Functions from State Constraints
A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State ConstraintsAmerican Control Conference (ACC), 2023
Jaemin Lee
Jeeseop Kim
Aaron D. Ames
389
9
0
12 Dec 2023
Safe Reinforcement Learning in Tensor Reproducing Kernel Hilbert Space
Safe Reinforcement Learning in Tensor Reproducing Kernel Hilbert Space
Xiaoyuan Cheng
Boli Chen
Liz Varga
Yukun Hu
322
0
0
01 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety
  Filters in Uncertain Robotic Systems
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic SystemsIEEE Transactions on robotics (TRO), 2023
Jason J. Choi
F. Castañeda
Wonsuhk Jung
Bike Zhang
Claire J. Tomlin
Koushil Sreenath
299
5
0
23 Nov 2023
Guaranteeing Control Requirements via Reward Shaping in Reinforcement
  Learning
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
F. D. Lellis
M. Coraggio
G. Russo
Mirco Musolesi
Mario di Bernardo
OffRL
475
10
0
16 Nov 2023
State-Wise Safe Reinforcement Learning With Pixel Observations
State-Wise Safe Reinforcement Learning With Pixel ObservationsConference on Learning for Dynamics & Control (L4DC), 2023
S. Zhan
Yixuan Wang
Qingyuan Wu
Ruochen Jiao
Chao Huang
Qi Zhu
415
15
0
03 Nov 2023
Harmonic Control Lyapunov Barrier Functions for Constrained Optimal
  Control with Reach-Avoid Specifications
Harmonic Control Lyapunov Barrier Functions for Constrained Optimal Control with Reach-Avoid Specifications
Amartya Mukherjee
Rui Zhou
Haocheng Chang
Jun Liu
323
1
0
04 Oct 2023
Distributionally Safe Reinforcement Learning under Model Uncertainty: A
  Single-Level Approach by Differentiable Convex Programming
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming
A. Chriat
Chuangchuang Sun
261
1
0
03 Oct 2023
Learning Adaptive Safety for Multi-Agent Systems
Learning Adaptive Safety for Multi-Agent SystemsIEEE International Conference on Robotics and Automation (ICRA), 2023
Luigi Berducci
Shuo Yang
Rahul Mangharam
Radu Grosu
370
9
0
19 Sep 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open
  Problems
A Survey on Physics Informed Reinforcement Learning: Review and Open ProblemsExpert systems with applications (ESWA), 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
M. Raissi
PINNAI4CE
276
46
0
05 Sep 2023
Avoidance Navigation Based on Offline Pre-Training Reinforcement
  Learning
Avoidance Navigation Based on Offline Pre-Training Reinforcement Learning
W. Yang
Hao Lei
OffRL
206
1
0
03 Aug 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov
  Barrier Functions
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier FunctionsIEEE International Conference on Robotics and Automation (ICRA), 2023
Desong Du
Shao-Fu Han
Naiming Qi
Haitham Bou-Ammar
Jun Wang
Wei Pan
280
28
0
16 May 2023
Neural Lyapunov Control for Discrete-Time Systems
Neural Lyapunov Control for Discrete-Time SystemsNeural Information Processing Systems (NeurIPS), 2023
Junlin Wu
Andrew Clark
Y. Kantaros
Yevgeniy Vorobeychik
402
45
0
11 May 2023
On the Optimality, Stability, and Feasibility of Control Barrier
  Functions: An Adaptive Learning-Based Approach
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based ApproachIEEE Robotics and Automation Letters (RA-L), 2023
A. Chriat
Chuangchuang Sun
249
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0
05 May 2023
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov
  Actor-Critic Approach
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic ApproachIEEE Conference on Decision and Control (CDC), 2023
Liqun Zhao
Konstantinos Gatsis
A. Papachristodoulou
360
26
0
08 Apr 2023
Deep Model Predictive Control
Deep Model Predictive Control
Prabhat Kumar Mishra
M. V. Gasparino
A. E. B. Velasquez
Girish Chowdhary
297
1
0
27 Feb 2023
Safe Networked Robotics with Probabilistic Verification
Safe Networked Robotics with Probabilistic VerificationIEEE Robotics and Automation Letters (RA-L), 2023
Sai Shankar Narasimhan
Sharachchandra Bhat
Sandeep Chinchali
350
3
0
17 Feb 2023
Safe Inverse Reinforcement Learning via Control Barrier Function
Safe Inverse Reinforcement Learning via Control Barrier Function
Yue Yang
Letian Chen
Matthew C. Gombolay
OffRL
302
5
0
06 Dec 2022
Distributionally Robust Lyapunov Function Search Under Uncertainty
Distributionally Robust Lyapunov Function Search Under UncertaintyConference on Learning for Dynamics & Control (L4DC), 2022
Kehan Long
Yinzhuang Yi
Jorge Cortés
Nikolay Atanasov
544
11
0
03 Dec 2022
Safe Reinforcement Learning with Probabilistic Control Barrier Functions
  for Ramp Merging
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging
Soumith Udatha
Yiwei Lyu
John M. Dolan
238
1
0
01 Dec 2022
Safe Control and Learning Using Generalized Action Governor
Safe Control and Learning Using Generalized Action Governor
Nan I. Li
Yutong Li
Ilya Kolmanovsky
Anouck Girard
H. E. Tseng
Dimitar Filev
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Anouck Girard
H. Eric Tseng
Dimitar Filev
229
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0
22 Nov 2022
Reinforcement Learning-Enhanced Control Barrier Functions for Robot
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Reinforcement Learning-Enhanced Control Barrier Functions for Robot Manipulators
Stephen McIlvanna
Minh-Nhat Nguyen
Yuzhu Sun
Mien Van
W. Naeem
134
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0
21 Nov 2022
Convex synthesis and verification of control-Lyapunov and barrier
  functions with input constraints
Convex synthesis and verification of control-Lyapunov and barrier functions with input constraintsAmerican Control Conference (ACC), 2022
Hongkai Dai
Frank Permenter
307
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0
02 Oct 2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement
  Learning in Unknown Stochastic Environments
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic EnvironmentsInternational Conference on Machine Learning (ICML), 2022
Yixuan Wang
S. Zhan
Ruochen Jiao
Zhilu Wang
Wanxin Jin
Zhuoran Yang
Zhaoran Wang
Chao Huang
Qi Zhu
420
78
0
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