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v1v2 (latest)

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

International Joint Conference on Artificial Intelligence (IJCAI), 2022

19 February 2022

Ding Zhao

Papers citing "Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training"

23 / 23 papers shown

Title
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning Jiayu Chen Aravind Venugopal Shiyu Huang Jeff Schneider OffRL 260 0 0 19 May 2025
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided DisturbancesIEEE International Conference on Robotics and Automation (ICRA), 2024 Hanyang Hu Xilun Zhang Xubo Lyu Mo Chen 200 1 0 29 Sep 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 352 2 0 29 Sep 2024
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness Xuan Cai Zhiyong Cui Xuesong Bai Ruimin Ke Zhenshu Ma Haiyang Yu Yilong Ren AAML 151 0 0 19 Sep 2024
ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners Xiangge Huang Jingyuan Li Jiaqing Xie 148 0 0 26 Aug 2024
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving Zhi Zheng Shangding Gu 151 7 0 28 May 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience Manfred Diaz Liam Paull Andrea Tacchetti 315 1 0 03 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 217 9 0 19 Mar 2024
Leveraging Noisy Observations in Zero-Sum Games Emmanouil M. Athanasakos S. Perlaza 152 0 0 05 Feb 2024
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 172 9 0 14 Dec 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 191 4 0 25 Sep 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach Tuomas Sandholm Furong Huang Alexander Shmakov OOD 171 0 0 22 Jul 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal DiscoveryConference on Robot Learning (CoRL), 2023 Peide Huang Xilun Zhang Ziang Cao Shiqi Liu Mengdi Xu Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 305 35 0 28 Jun 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel IntelligenceIEEE Transactions on Intelligent Vehicles (TIV), 2023 Xuemin Hu Shen Li Ting Huang Bo Tang Rouxing Huai Long Chen 224 103 0 02 May 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 196 0 0 25 Apr 2023
Continual Vision-based Reinforcement Learning with Group SymmetriesConference on Robot Learning (CoRL), 2022 Shiqi Liu Mengdi Xu Piede Huang Yongkang Liu K. Oguchi Ding Zhao CLL VLM 276 17 0 21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent VariablesInternational 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 187 9 0 21 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationNeural Information Processing Systems (NeurIPS), 2022 Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 224 31 0 18 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 321 51 0 16 Sep 2022
Robust Reinforcement Learning using Offline DataNeural Information Processing Systems (NeurIPS), 2022 Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OffRL 267 103 0 10 Aug 2022
A Survey of Decision Making in Adversarial GamesScience China Information Sciences (Sci. China Inf. Sci.), 2022 Xiuxian Li Min Meng Yiguang Hong Jie-bin Chen AAML 215 20 0 16 Jul 2022
Performative Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Debmalya Mandal Stelios Triantafyllou Goran Radanović 233 22 0 30 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational PerturbationsInternational Conference on Learning Representations (ICLR), 2022 Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Yue Liu Ding Zhao OOD OffRL 230 44 0 29 May 2022

v1v2 (latest)

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

International Joint Conference on Artificial Intelligence (IJCAI), 2022

19 February 2022

Ding Zhao

Papers citing "Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training"

23 / 23 papers shown

Title
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning Jiayu Chen Aravind Venugopal Shiyu Huang Jeff Schneider OffRL 260 0 0 19 May 2025
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided DisturbancesIEEE International Conference on Robotics and Automation (ICRA), 2024 Hanyang Hu Xilun Zhang Xubo Lyu Mo Chen 200 1 0 29 Sep 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 352 2 0 29 Sep 2024
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness Xuan Cai Zhiyong Cui Xuesong Bai Ruimin Ke Zhenshu Ma Haiyang Yu Yilong Ren AAML 151 0 0 19 Sep 2024
ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners Xiangge Huang Jingyuan Li Jiaqing Xie 148 0 0 26 Aug 2024
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving Zhi Zheng Shangding Gu 151 7 0 28 May 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience Manfred Diaz Liam Paull Andrea Tacchetti 315 1 0 03 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 217 9 0 19 Mar 2024
Leveraging Noisy Observations in Zero-Sum Games Emmanouil M. Athanasakos S. Perlaza 152 0 0 05 Feb 2024
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 172 9 0 14 Dec 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 191 4 0 25 Sep 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach Tuomas Sandholm Furong Huang Alexander Shmakov OOD 171 0 0 22 Jul 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal DiscoveryConference on Robot Learning (CoRL), 2023 Peide Huang Xilun Zhang Ziang Cao Shiqi Liu Mengdi Xu Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 305 35 0 28 Jun 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel IntelligenceIEEE Transactions on Intelligent Vehicles (TIV), 2023 Xuemin Hu Shen Li Ting Huang Bo Tang Rouxing Huai Long Chen 224 103 0 02 May 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 196 0 0 25 Apr 2023
Continual Vision-based Reinforcement Learning with Group SymmetriesConference on Robot Learning (CoRL), 2022 Shiqi Liu Mengdi Xu Piede Huang Yongkang Liu K. Oguchi Ding Zhao CLL VLM 276 17 0 21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent VariablesInternational 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 187 9 0 21 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationNeural Information Processing Systems (NeurIPS), 2022 Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 224 31 0 18 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 321 51 0 16 Sep 2022
Robust Reinforcement Learning using Offline DataNeural Information Processing Systems (NeurIPS), 2022 Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OffRL 267 103 0 10 Aug 2022
A Survey of Decision Making in Adversarial GamesScience China Information Sciences (Sci. China Inf. Sci.), 2022 Xiuxian Li Min Meng Yiguang Hong Jie-bin Chen AAML 215 20 0 16 Jul 2022
Performative Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Debmalya Mandal Stelios Triantafyllou Goran Radanović 233 22 0 30 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational PerturbationsInternational Conference on Learning Representations (ICLR), 2022 Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Yue Liu Ding Zhao OOD OffRL 230 44 0 29 May 2022