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Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
2 March 2021
Haitong Ma
Jianyu Chen
Shengbo Eben Li
Ziyu Lin
Yang Guan
Yangang Ren
Sifa Zheng
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Papers citing
"Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function"
35 / 35 papers shown
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Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
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242
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NMPCB: A Lightweight and Safety-Critical Motion Control Framework for Ackermann Mobile Robot
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Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies
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Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
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Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving
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Jianping Wu
Yujing He
248
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Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
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Hassan Fouad
Giovanni Beltrame
OffRL
281
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22 Apr 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints
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Kartik Nagpal
Negar Mehr
358
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20 Mar 2024
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
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Vipul K Sharma
K. Kosaraju
S. Sivaranjani
Ji Liu
Vijay Gupta
Brian M Sadler
230
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06 Mar 2024
A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints
American Control Conference (ACC), 2023
Jaemin Lee
Jeeseop Kim
Aaron D. Ames
381
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12 Dec 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
Expert systems with applications (ESWA), 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
M. Raissi
PINN
AI4CE
266
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05 Sep 2023
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Hong-Den Yu
Chiaki Hirayama
Chenning Yu
Sylvia Herbert
Sicun Gao
275
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06 Jul 2023
Control invariant set enhanced safe reinforcement learning: improved sampling efficiency, guaranteed stability and robustness
Computers and Chemical Engineering (Comput. Chem. Eng.), 2023
Song Bo
B. T. Agyeman
Xunyuan Yin
Jinfeng Liu
OffRL
192
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0
24 May 2023
Bounding Optimality Gaps for Non-Convex Optimization Problems: Applications to Nonlinear Safety-Critical Systems
IEEE Conference on Decision and Control (CDC), 2023
Prithvi Akella
Aaron D. Ames
246
0
0
07 Apr 2023
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments
IEEE Control Systems Letters (L-CSS), 2023
Hongyi Chen
Changliu Liu
OffRL
189
16
0
24 Mar 2023
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Haitong Ma
Tianpeng Zhang
Yixuan Wu
Flavio du Pin Calmon
Na Li
217
15
0
10 Mar 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
James Queeney
E. C. Ozcan
I. Paschalidis
Christos G. Cassandras
OOD
OffRL
355
9
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31 Jan 2023
Safe Inverse Reinforcement Learning via Control Barrier Function
Yue Yang
Letian Chen
Matthew C. Gombolay
OffRL
302
5
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06 Dec 2022
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging
Soumith Udatha
Yiwei Lyu
John M. Dolan
234
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01 Dec 2022
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning
Conference on Learning for Dynamics & Control (L4DC), 2022
Daniel Tabas
Ahmed S. Zamzam
Baosen Zhang
263
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29 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
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446
164
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15 Nov 2022
Safety-Critical Ergodic Exploration in Cluttered Environments via Control Barrier Functions
IEEE International Conference on Robotics and Automation (ICRA), 2022
Cameron J. Lerch
Ethan Dong
Ian Abraham
329
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0
08 Nov 2022
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model
Zeyu Gao
Yao Mu
Chen Chen
Yangang Ren
Shengbo Eben Li
Ping Luo
Yanfeng Lu
295
58
0
08 Oct 2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
International Conference on Machine Learning (ICML), 2022
Yixuan Wang
S. Zhan
Ruochen Jiao
Zhilu Wang
Wanxin Jin
Zhuoran Yang
Zhaoran Wang
Chao Huang
Qi Zhu
413
76
0
29 Sep 2022
Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization
IEEE International Conference on Robotics and Automation (ICRA), 2022
Haotian Zheng
Haitong Ma
Sifa Zheng
Shengbo Eben Li
Jianqiang Wang
265
2
0
23 Sep 2022
Reachability Constrained Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Dongjie Yu
Haitong Ma
Sheng Li
Jianyu Chen
334
83
0
16 May 2022
Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning
Transportation Research Part C: Emerging Technologies (TRC), 2022
Yangang Ren
Tianze Zhu
Liye Tang
Shengbo Eben Li
Jianhua Jiang
Jingliang Duan
AAML
263
19
0
09 Apr 2022
Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner
International Conference on Cyber-Physical Systems (ICCPS), 2022
Xiangguo Liu
Chao Huang
Yixuan Wang
Bowen Zheng
Qi Zhu
275
19
0
22 Jan 2022
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Xinglong Zhang
Yaoqian Peng
Biao Luo
Wei Pan
Xin Xu
Haibin Xie
304
23
0
18 Dec 2021
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
Haitong Ma
Changliu Liu
Shengbo Eben Li
Sifa Zheng
Wen Sun
Jianyu Chen
179
11
0
25 Nov 2021
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
Conference on Learning for Dynamics & Control (L4DC), 2021
Haitong Ma
Changliu Liu
Shengbo Eben Li
Sifa Zheng
Jianyu Chen
188
45
0
15 Nov 2021
Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions
IEEE International Conference on Robotics and Automation (ICRA), 2021
A. Thirugnanam
Jun Zeng
Koushil Sreenath
498
100
0
25 Sep 2021
Model Free Barrier Functions via Implicit Evading Maneuvers
Eric Squires
Rohit Konda
Samuel Coogan
M. Egerstedt
252
10
0
27 Jul 2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
Haitong Ma
Yang Guan
Shegnbo Eben Li
Xiangteng Zhang
Sifa Zheng
Jianyu Chen
257
47
0
22 May 2021
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