Distributed Detection of Adversarial Attacks in Multi-Agent Reinforcement Learning with Continuous Action Space
Fuente:
arXiv
Saved in:
| Main Authors: | Kazari, Kiarash, Shereen, Ezzeldin, Dán, György |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2023)
by: Gupta, Nikunj, et al.
Published: (2023)
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2025)
by: Lee, Sunwoo, et al.
Published: (2025)
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2025)
by: Wang, Xuefeng, et al.
Published: (2025)
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
by: Wang, Zhizun, et al.
Published: (2026)
by: Wang, Zhizun, et al.
Published: (2026)
Constrained Black-Box Attacks Against Cooperative Multi-Agent Reinforcement Learning
by: Andam, Amine, et al.
Published: (2025)
by: Andam, Amine, et al.
Published: (2025)
Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications
by: Standen, Maxwell, et al.
Published: (2026)
by: Standen, Maxwell, et al.
Published: (2026)
MACTAS: Self-Attention-Based Inter-Agent Communication in Multi-Agent Reinforcement Learning with Action-Value Function Decomposition
by: Wojtala, Maciej, et al.
Published: (2025)
by: Wojtala, Maciej, et al.
Published: (2025)
Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
by: Wang, Baoqian, et al.
Published: (2022)
by: Wang, Baoqian, et al.
Published: (2022)
Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)
by: Krishnan, Srivatsan, et al.
Published: (2025)
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
by: Bui, The Viet, et al.
Published: (2024)
by: Bui, The Viet, et al.
Published: (2024)
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)
by: Lee, Sunwoo, et al.
Published: (2026)
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)
by: Hu, Kun, et al.
Published: (2025)
CAMAR: Continuous Actions Multi-Agent Routing
by: Pshenitsyn, Artem, et al.
Published: (2025)
by: Pshenitsyn, Artem, et al.
Published: (2025)
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
by: Omari, Bassel Al, et al.
Published: (2025)
by: Omari, Bassel Al, et al.
Published: (2025)
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
by: Kontogiannis, Andreas, et al.
Published: (2025)
by: Kontogiannis, Andreas, et al.
Published: (2025)
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
by: Zhang, Yiyao, et al.
Published: (2026)
by: Zhang, Yiyao, et al.
Published: (2026)
Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)
by: Park, Yisak, et al.
Published: (2025)
Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)
by: Na, Hyungho, et al.
Published: (2025)
Double Distillation Network for Multi-Agent Reinforcement Learning
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Generalized Intention Modeling in Multi-Agent Reinforcement Learning
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)
by: Amato, Christopher
Published: (2024)
Fully Independent Communication in Multi-Agent Reinforcement Learning
by: Pina, Rafael, et al.
Published: (2024)
by: Pina, Rafael, et al.
Published: (2024)
Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
by: Cho, Minwoo, et al.
Published: (2026)
by: Cho, Minwoo, et al.
Published: (2026)
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)
by: Bui, The Viet, et al.
Published: (2025)
Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
by: Gardiner, John, et al.
Published: (2026)
by: Gardiner, John, et al.
Published: (2026)
Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
by: Haroon, Adam, et al.
Published: (2025)
by: Haroon, Adam, et al.
Published: (2025)
Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
by: Zhao, Yujie, et al.
Published: (2025)
by: Zhao, Yujie, et al.
Published: (2025)
Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Büchi, Hannes, et al.
Published: (2026)
by: Büchi, Hannes, et al.
Published: (2026)
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
by: Holder, Joshua, et al.
Published: (2024)
by: Holder, Joshua, et al.
Published: (2024)
Hierarchical Lead Critic based Multi-Agent Reinforcement Learning
by: Eckel, David, et al.
Published: (2026)
by: Eckel, David, et al.
Published: (2026)
A Tensor Network Implementation of Multi Agent Reinforcement Learning
by: Howard, Sunny
Published: (2024)
by: Howard, Sunny
Published: (2024)
A Survey of Multi-Agent Deep Reinforcement Learning with Communication
by: Zhu, Changxi, et al.
Published: (2022)
by: Zhu, Changxi, et al.
Published: (2022)
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2024)
by: Eldeeb, Eslam, et al.
Published: (2024)
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
by: Hazra, Somnath, et al.
Published: (2025)
by: Hazra, Somnath, et al.
Published: (2025)
Distributed Continual Learning
by: Le, Long, et al.
Published: (2024)
by: Le, Long, et al.
Published: (2024)
MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
by: Sawaika, Abhishek, et al.
Published: (2026)
by: Sawaika, Abhishek, et al.
Published: (2026)
Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Ruoning, et al.
Published: (2025)
by: Zhang, Ruoning, et al.
Published: (2025)
Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)
by: Duan, Wei, et al.
Published: (2025)
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning
by: Deihim, Azad, et al.
Published: (2025)
by: Deihim, Azad, et al.
Published: (2025)
Similar Items
-
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
by: Gupta, Nikunj, et al.
Published: (2023) -
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2025) -
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2025) -
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
by: Wang, Zhizun, et al.
Published: (2026) -
Constrained Black-Box Attacks Against Cooperative Multi-Agent Reinforcement Learning
by: Andam, Amine, et al.
Published: (2025)