Adversarial MARL

MARL: Multi-Agent Reinforcement Learning

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17 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. Adversarial Reinforcement Learning for Robust Planetary Landing

    Oct 14, 2026Miguel Leiva-Vélez, Nicolas Gaston-Rozado, Andrea Scorsoglio +2Adversarial MARLReinforcement Learning

    ETSI Aeronáutica y del Espacio, Universidad Politécnica de Madrid, Madrid, Spain · Indra Sistemas, Madrid, Spain · Department of Systems and Industrial Engineering, University of Arizona, Tucson, USA +2

  2. Robust Adversarial Reinforcement Learning with Risk Sensitivity and Critic Consistency Regularization

    Sep 23, 2026Jiaxi Wu, Tiantian Zhang, Yuxing Wang +2Reinforcement LearningRisk-Sensitive RL

    Shenzhen International Graduate School, Tsinghua University Shenzhen, China

  3. Robust Market Making with Hawkes Order Flow and Price Impact via Adversarial Reinforcement Learning

    Sep 19, 2026Hao Yang, Zhenguo XuAdversarial MARLHawkes Processes

    North China Institute of Computer System Engineering, Beijing, China · University of Science and Technology of China, Hefei, China

  4. Inverting Self-Triggered Control: Adversarial Reinforcement Learning for Sparse Denial-of-Service Attacks

    Sep 10, 2026Adam Haroon, Erick J. Rodríguez-Seda, Tristan Schuler +1RL ControlReinforcement Learning

    Department of Mechanical Engineering, Iowa State University, Ames, IA, USA · Department of Weapons, Robotics, and Control Engineering, United States Naval Academy, Annapolis, MD, USA · Navy Center for Applied Research in Artificial Intelligence (NCARAI), U.S. Naval Research Laboratory, Washington, D.C., USA

  5. CoER: Defending against Adaptive Indirect Prompt Injection via Adversarial Co-Evolution and Refinement

    Sep 7, 2026Boyang Zhang, Qingxin Xiao, Lingwei Dang +1Reinforcement LearningAI Agent Security

    School of Software Engineering, South China University of Technology

  6. RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning

    Jun 29, 2026Adithya Mohan, Daniel Kriegl, Torsten SchönRL BenchmarksReinforcement Learning

    AImotion Bavaria · Technische Hochschule Ingolstadt · Ingolstadt, Germany

  7. Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning

    May 18, 2026Sunwoo Lee, Mingu Kang, Yonghyeon Jo +1Adversarial TrainingMulti-Agent Coordination

    Graduate School of Artificial Intelligence, UNIST, Ulsan, South Korea

  8. Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications

    May 13, 2026Maxwell Standen, Junae Kim, Claudia SzaboAdversarial AttacksAdversarial Perturbations

    The University of Adelaide · DST Group

  9. Robust Multi-Agent Path Finding under Observation Attacks: A Principled Adversarial-Plus-Smoothing Training Recipe

    May 12, 2026Riad AhmedMulti-Agent Path FindingAdversarial Robustness

    University of New Hampshire

  10. Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees

    Apr 15, 2026Sourav Ganguly, Kartik Pandit, Arnob GhoshAdversarial MARLReinforcement Learning

    Dept. of Electrical and Computer Engineering, NJIT, Newark, NJ, USA

  11. Synthesis and Deployment of Maximal Robust Control Barrier Functions through Adversarial Reinforcement Learning

    Apr 14, 2026Donggeon David Oh, Duy P. Nguyen, Haimin Hu +1Adversarial MARLControl Barrier Functions

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08540, USA · Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA

  12. Robust Adversarial Policy Optimization Under Dynamics Uncertainty

    Apr 13, 2026Mintae Kim, Koushil SreenathAdversarial MARLReinforcement Learning

    Hybrid Robotics, UC Berkeley Berkeley, CA 94720, USA

  13. Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning

    Apr 6, 2026Yiyao Zhang, Diksha Goel, Hussain AhmadAdversarial MARLAutonomous Cyber Defense

    Adelaide University, Australia · CSIRO’s Data61, Australia

  14. Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards

    Mar 29, 2026Kihyun Yu, Seoungbin Bae, Dabeen LeeAdversarial MARLReinforcement Learning

    Department of Industrial and Systems Engineering, KAIST · Department of Mathematical Sciences, Seoul National University · Research Institute of Mathematics, Seoul National University +2

  15. CAMA: Exploring Collusive Adversarial Attacks in c-MARL

    Mar 20, 2026Men Niu, Xinxin Fan, Quanliang Jing +2Adversarial AttacksAdversarial MARL

    Institute of Computing Technology, CAS · UCAS · Beihang University

  16. Taming the Adversary: A Cost-to-Disturbance Ratio Approach to Adversarial Reinforcement Learning

    Mar 12, 2026Taeho Lee, Donghwan LeeAdversarial MARLReinforcement Learning

    School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

  17. HARL-A: An Extensible Benchmark Framework for Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab

    Sep 26, 2025Isaac Peterson, Christopher Allred, Jacob Morrey +1RL BenchmarksAdversarial MARL

    Utah State University · US DEVCOM Army Research Laboratory