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Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
16 September 2022
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Yue Liu
Ding Zhao
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Papers citing
"Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability"
34 / 34 papers shown
Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
191
0
0
19 Nov 2025
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
1.1K
0
0
16 Apr 2025
Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Katherine Dearstyne
Pedro
Alarcon Granadeno
Theodore Chambers
Jane Cleland-Huang
195
0
0
13 Mar 2025
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
International Conference on Machine Learning (ICML), 2024
Juntao Dai
Yaodong Yang
Qian Zheng
Gang Pan
OffRL
340
3
0
15 Dec 2024
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances
IEEE International Conference on Robotics and Automation (ICRA), 2024
Hanyang Hu
Xilun Zhang
Xubo Lyu
Mo Chen
249
1
0
29 Sep 2024
Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems
Changjian Zhang
Parv Kapoor
Eunsuk Kang
Romulo Meira-Goes
David Garlan
Akila Ganlath
Shatadal Mishra
N. Ammar
281
2
0
24 Jun 2024
PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference
Yalan Qin
Chongye Guo
Borong Zhang
Boyuan Chen
Josef Dai
...
Kaile Wang
Boxuan Li
Sirui Han
Wenhan Luo
Yaodong Yang
599
23
0
20 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen
Yi-Fan Yao
Zuxin Liu
Ding Zhao
OffRL
377
3
0
20 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
326
37
0
22 Apr 2024
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
Peide Huang
Wenhao Ding
Jonathan M Francis
Bingqing Chen
Ding Zhao
318
10
0
19 Mar 2024
Off-Policy Primal-Dual Safe Reinforcement Learning
International Conference on Learning Representations (ICLR), 2024
Zifan Wu
Bo Tang
Qian Lin
Chao Yu
Shangqin Mao
Qianlong Xie
Xingxing Wang
Dong Wang
OffRL
355
10
0
26 Jan 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
Yi-Fan Yao
Zuxin Liu
Zhepeng Cen
Peide Huang
Tingnan Zhang
Wenhao Yu
Ding Zhao
OffRL
394
11
0
23 Dec 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
IEEE Robotics and Automation Letters (RA-L), 2023
Hao-ming Lin
Wenhao Ding
Zuxin Liu
Yaru Niu
Jiacheng Zhu
Yuming Niu
Ding Zhao
OffRL
448
28
0
31 Oct 2023
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Neural Information Processing Systems (NeurIPS), 2023
Jiaming Ji
Borong Zhang
Jiayi Zhou
Xuehai Pan
Weidong Huang
Ruiyang Sun
Yiran Geng
Yifan Zhong
Juntao Dai
Yaodong Yang
OffRL
455
142
0
19 Oct 2023
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving
Haoyi Niu
Qimao Chen
Yingyue Li
Yi Zhang
Jianming Hu
297
6
0
25 Sep 2023
Learning Shared Safety Constraints from Multi-task Demonstrations
Neural Information Processing Systems (NeurIPS), 2023
Konwoo Kim
Gokul Swamy
Zuxin Liu
Ding Zhao
Sanjiban Choudhury
Zhiwei Steven Wu
300
25
0
01 Sep 2023
Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: An MPPI Approach
Mehdi Testouri
Gamal Elghazaly
R. Frank
346
5
0
03 Aug 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
Neural Information Processing Systems (NeurIPS), 2023
Tongxin Li
Yiheng Lin
Shaolei Ren
Adam Wierman
AAML
OffRL
372
12
0
20 Jul 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
Conference on Robot Learning (CoRL), 2023
Peide Huang
Xilun Zhang
Ziang Cao
Shiqi Liu
Mengdi Xu
Wenhao Ding
Jonathan M Francis
Bingqing Chen
Ding Zhao
430
40
0
28 Jun 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
International Conference on Learning Representations (ICLR), 2023
Runyu Zhang
Yang Hu
Na Li
457
13
0
20 Jun 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Zuxin Liu
Zijian Guo
Haohong Lin
Yi-Fan Yao
Jiacheng Zhu
...
Hanjiang Hu
Wenhao Yu
Tingnan Zhang
Jie Tan
Ding Zhao
OffRL
413
65
0
15 Jun 2023
Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning
IEEE/IFIP Network Operations and Management Symposium (NOMS), 2023
Muhammad Sulaiman
Mahdieh Ahmadi
M. A. Salahuddin
R. Boutaba
A. Saleh
173
12
0
15 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
International Conference on Machine Learning (ICML), 2023
Qian Lin
Bo Tang
Zifan Wu
Chao Yu
Shangqin Mao
Qianlong Xie
Xingxing Wang
Dong Wang
OffRL
308
29
0
01 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
342
39
0
17 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Yuan
Zifei Zhang
Ke Xue
Hao Yin
F. Chen
Cong Guan
Lihe Li
Chao Qian
Yang Yu
AAML
294
31
0
10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
418
17
0
09 May 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Zuxin Liu
Zijian Guo
Yi-Fan Yao
Zhepeng Cen
Wenhao Yu
Tingnan Zhang
Ding Zhao
OffRL
356
79
0
14 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
James Queeney
E. C. Ozcan
I. Paschalidis
Christos G. Cassandras
OOD
OffRL
356
10
0
31 Jan 2023
Continual Vision-based Reinforcement Learning with Group Symmetries
Conference on Robot Learning (CoRL), 2022
Shiqi Liu
Mengdi Xu
Piede Huang
Yongkang Liu
K. Oguchi
Ding Zhao
CLL
VLM
453
17
0
21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
...
Kuan-Hui Lee
Xuewei Qi
Henry Lam
Yue Liu
Ding Zhao
OOD
285
10
0
21 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
282
35
0
18 Oct 2022
Example When Local Optimal Policies Contain Unstable Control
B. Song
Jean-Jacques E. Slotine
Quang Pham
312
1
0
15 Sep 2022
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability
Juan Jose Garau-Luis
Yingjie Miao
John D. Co-Reyes
Aaron T Parisi
Jie Tan
Esteban Real
Aleksandra Faust
275
0
0
08 Apr 2022
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Abhishek Joshi
Soroush Nasiriany
Yifeng Zhu
Soroush Nasiriany
Yifeng Zhu
724
606
0
25 Sep 2020
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