Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability

16 September 2022

Ding Zhao

Papers citing "Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability"

43 / 43 papers shown

Title
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 130 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 62 0 0 13 Mar 2025
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation Juntao Dai Yaodong Yang Qian Zheng Gang Pan OffRL 76 2 0 15 Dec 2024
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances Hanyang Hu Xilun Zhang Xubo Lyu Mo Chen 32 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 34 0 0 24 Jun 2024
PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models Jiaming Ji Donghai Hong Borong Zhang Boyuan Chen Josef Dai Boren Zheng Tianyi Qiu Boxun Li Yaodong Yang 42 24 0 20 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 34 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 29 5 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 37 4 0 19 Mar 2024
Off-Policy Primal-Dual Safe Reinforcement Learning Zifan Wu Bo Tang Qian Lin Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 16 3 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 71 6 0 23 Dec 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 57 33 0 02 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Hao-ming Lin Wenhao Ding Zuxin Liu Yaru Niu Jiacheng Zhu Yuming Niu Ding Zhao OffRL 28 11 0 31 Oct 2023
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark Jiaming Ji Borong Zhang Jiayi Zhou Xuehai Pan Weidong Huang Ruiyang Sun Yiran Geng Yifan Zhong Juntao Dai Yaodong Yang OffRL 23 62 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 32 3 0 25 Sep 2023
Learning Shared Safety Constraints from Multi-task Demonstrations Konwoo Kim Gokul Swamy Zuxin Liu Ding Zhao Sanjiban Choudhury Zhiwei Steven Wu 28 14 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 25 2 0 03 Aug 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li Yiheng Lin Shaolei Ren Adam Wierman AAML OffRL 34 6 0 20 Jul 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang Xilun Zhang Ziang Cao Shiqi Liu Mengdi Xu Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 36 24 0 28 Jun 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 38 5 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 22 36 0 15 Jun 2023
Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning Muhammad Sulaiman Mahdieh Ahmadi M. A. Salahuddin R. Boutaba A. Saleh 27 6 0 15 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 34 11 0 01 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 33 14 0 17 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers Lei Yuan Zifei Zhang Ke Xue Hao Yin F. Chen Cong Guan Lihe Li Chao Qian Yang Yu AAML 24 16 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 44 10 0 09 May 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Yi-Fan Yao Zhepeng Cen Wenhao Yu Tingnan Zhang Ding Zhao OffRL 26 46 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 29 5 0 31 Jan 2023
Continual Vision-based Reinforcement Learning with Group Symmetries Shiqi Liu Mengdi Xu Piede Huang Yongkang Liu K. Oguchi Ding Zhao CLL VLM 40 10 0 21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi H. Lam Bo-wen Li Ding Zhao OOD 54 9 0 21 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 33 24 0 18 Oct 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang-Cuong Pham 36 1 0 15 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 115 237 0 20 May 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 29 0 0 08 Apr 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 77 37 0 19 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei-ping Xu Haichao Zhang OffRL 61 31 0 28 Jan 2022
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics Zhaocong Yuan Adam W. Hall Siqi Zhou Lukas Brunke Melissa Greeff Jacopo Panerati Angela P. Schoellig OffRL 94 53 0 13 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 61 162 0 21 Jan 2021
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 66 26 0 09 Mar 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 57 132 0 27 Jan 2020
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 106 104 0 16 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 223 809 0 13 Nov 2016