Papers citing 'Robust Multi-Agent Reinforcement Learning with State Uncertainty'

Title
Robust Geospatial Coordination of Multi-Agent Communications Networks Under Attrition Jonathan S. Kent Eliana Stefani Brian K. Plancher 24 0 0 30 Nov 2025
Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging Yuchen Shi Huaxin Pei Y. Zhang Danya Yao AAML 210 0 0 28 Nov 2025
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning Simin Li Zihao Mao Hanxiao Li Zonglei Jing Zhuohang bian ... Yuqing Ma Bo An Yaodong Yang Weifeng Lv Xianglong Liu 130 0 0 13 Oct 2025
cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending Anirudh Satheesh Keenan Powell Hua Wei 100 0 0 28 Aug 2025
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality Shaocong Ma Ziyi Chen Yi Zhou Heng Huang OffRL 180 4 0 24 Aug 2025
Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach Yueyang Quan Chang Wang Shengjie Zhai Minghong Fang Zhuqing Liu 88 0 0 10 Aug 2025
Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware Keshawn Smith Zhili Zhang Hijaz Ahmad Ehsan Sabouni Maniak Mondal Song Han Wenchao Li Fei Miao 139 0 0 01 Jun 2025
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation Xinrui Wang Yan Jin 319 0 0 15 May 2025
Uncertainty in Action: Confidence Elicitation in Embodied Agents Tianjiao Yu Vedant Shah Muntasir Wahed Kiet A. Nguyen Adheesh Sunil Juvekar Tal August Ismini Lourentzou 467 0 0 13 Mar 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025 Shangding Gu Laixi Shi Muning Wen Ming Jin Eric Mazumdar Yuejie Chi Adam Wierman C. Spanos OOD OffRL 333 10 0 27 Feb 2025
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning Zhiyong Yu Yuning Jiang Xin Liu Yuanming Shi Chunxiao Jiang Linling Kuang 219 2 0 08 Jan 2025
Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games Usman Anwar Ashish Pandian Jia Wan David M. Krueger Jakob N. Foerster 319 0 0 07 Nov 2024
Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology ImagesIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024 Bingjun Li Mostafa Karami Masum Shah Junayed S. Nabavi 96 0 0 31 Oct 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 271 3 0 22 Jul 2024
Tractable Equilibrium Computation in Markov Games through Risk Aversion Eric Mazumdar Kishan Panaganti Laixi Shi 301 3 0 20 Jun 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective Muhammad Aneeq uz Zaman Mathieu Laurière Alec Koppel Tamer Basar 251 7 0 20 Jun 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations Xiaolin Sun Zizhan Zheng OnRL 223 1 0 06 Mar 2024
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error Haoran Li Zicheng Zhang Wang Luo Congying Han Yudong Hu Tiande Guo Shichen Liao AAML 303 3 0 03 Feb 2024
Robust Communicative Multi-Agent Reinforcement Learning with Active DefenseAAAI Conference on Artificial Intelligence (AAAI), 2023 Lebin Yu Yunbo Qiu Quanming Yao Yuan Shen Xudong Zhang Jian Wang AAML 116 7 0 16 Dec 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable AlgorithmsNeural Information Processing Systems (NeurIPS), 2023 Alexander Bukharin Yan Li Yue Yu Qingru Zhang Zhehui Chen Simiao Zuo Chao Zhang Songan Zhang Tuo Zhao OOD AAML 193 33 0 16 Oct 2023
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization Simin Li Ruixiao Xu Jingqiao Xiu Yuwei Zheng Pu Feng Yaodong Yang Xianglong Liu 352 5 0 15 Oct 2023
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning Aakriti Agrawal R. Aralikatti Yanchao Sun Furong Huang 140 1 0 12 Oct 2023
Solving a Class of Non-Convex Minimax Optimization in Federated LearningNeural Information Processing Systems (NeurIPS), 2023 Xidong Wu Jianhui Sun Zhengmian Hu Aidong Zhang Heng-Chiao Huang FedML 316 19 0 05 Oct 2023
RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental DynamicsIEEE Real-Time Systems Symposium (RTSS), 2023 Zexin Li Tao Ren Xiaoxi He Cong Liu 168 11 0 29 Aug 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous RoboticsIEEE Real-Time Systems Symposium (RTSS), 2023 Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 322 11 0 29 Aug 2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning Hanhan Zhou Tian-Shing Lan Vaneet Aggarwal OffRL 252 4 0 28 Aug 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data MiningKnowledge Discovery and Data Mining (KDD), 2023 Xidong Wu Zhengmian Hu Jian Pei Heng Huang 203 13 0 06 Aug 2023
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning ApproachIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Sihong He Shuo Han Fei Miao 164 9 0 30 Jul 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical AgentsEuropean Conference on Artificial Intelligence (ECAI), 2023 Ziyuan Zhou Guanjun Liu AAML 150 13 0 09 Jun 2023
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels Yifan Yang Alec Koppel Zheng Zhang NoLa 188 3 0 08 Jun 2023
Collaborative Multi-Object Tracking with Conformal Uncertainty PropagationIEEE Robotics and Automation Letters (RA-L), 2023 Sanbao Su Songyang Han Yiming Li Zhili Zhang Chen Feng Caiwen Ding Fei Miao VOT 332 39 0 25 Mar 2023
A Systematic Survey of Control Techniques and Applications in Connected and Automated VehiclesIEEE Internet of Things Journal (IEEE IoT J.), 2023 Wei Liu Mingya Hua Zhi-Guo Deng Zonglin Meng Yanjun Huang ... Changsheng Liu Bin Shuai Amir Khajepour Lu Xiong Xin Xia 246 110 0 10 Mar 2023
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 491 31 0 06 Dec 2022
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD SystemsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Sihong He Yue Wang Shuo Han Shaofeng Zou Fei Miao 167 17 0 17 Sep 2022
Implicit Two-Tower Policies Yunfan Zhao Qingkai Pan K. Choromanski Deepali Jain Vikas Sindhwani OffRL 373 3 0 02 Aug 2022