Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
Fuente:
arXiv
Saved in:
| Main Authors: | Mohaya, Turki Bin, Seiler, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation
by: Zinage, Vrushabh, et al.
Published: (2024)
by: Zinage, Vrushabh, et al.
Published: (2024)
Deep Equivariant Multi-Agent Control Barrier Functions
by: Bousias, Nikolaos, et al.
Published: (2025)
by: Bousias, Nikolaos, et al.
Published: (2025)
Safe Decentralized Multi-Agent Control using Black-Box Predictors, Conformal Decision Policies, and Control Barrier Functions
by: Huriot, Sacha, et al.
Published: (2024)
by: Huriot, Sacha, et al.
Published: (2024)
Collaborative Safe Formation Control for Coupled Multi-Agent Systems
by: Butler, Brooks A., et al.
Published: (2023)
by: Butler, Brooks A., et al.
Published: (2023)
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
by: Sebastian, Eduardo, et al.
Published: (2023)
by: Sebastian, Eduardo, et al.
Published: (2023)
Transformers As Generalizable Optimal Controllers
by: Mohaya, Turki Bin, et al.
Published: (2026)
by: Mohaya, Turki Bin, et al.
Published: (2026)
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
by: Choi, Jason J., et al.
Published: (2025)
by: Choi, Jason J., et al.
Published: (2025)
Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
by: Yu, Taoyuan, et al.
Published: (2025)
by: Yu, Taoyuan, et al.
Published: (2025)
Time-To-Reach Separation and Safety Filtering for Safe, Fair, and Efficient Multi-Agent Coordination
by: Low, Matthew, et al.
Published: (2026)
by: Low, Matthew, et al.
Published: (2026)
LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments
by: Gouru, Srikar, et al.
Published: (2024)
by: Gouru, Srikar, et al.
Published: (2024)
Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
by: Sebastián, Eduardo, et al.
Published: (2025)
by: Sebastián, Eduardo, et al.
Published: (2025)
LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs
by: Chen, Jeffrey, et al.
Published: (2025)
by: Chen, Jeffrey, et al.
Published: (2025)
Modelling and Control of Spatial Behaviours in Multi-Agent Systems with Applications to Biology and Robotics
by: Giusti, Andrea
Published: (2024)
by: Giusti, Andrea
Published: (2024)
Discrete-Time Stress Matrix-Based Formation Control of General Linear Multi-Agent Systems
by: Onuoha, Okechi, et al.
Published: (2024)
by: Onuoha, Okechi, et al.
Published: (2024)
Composite Distributed Learning and Synchronization of Nonlinear Multi-Agent Systems with Complete Uncertain Dynamics
by: Jandaghi, Emadodin, et al.
Published: (2024)
by: Jandaghi, Emadodin, et al.
Published: (2024)
Robust Integral Consensus Control of Multi-Agent Networks Perturbed by Matched and Unmatched Disturbances: The Case of Directed Graphs
by: Romero, Jose Guadalupe, et al.
Published: (2023)
by: Romero, Jose Guadalupe, et al.
Published: (2023)
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)
by: Yu, Xin, et al.
Published: (2023)
Density-Driven Optimal Control: Convergence Guarantees for Stochastic LTI Multi-Agent Systems
by: Lee, Kooktae
Published: (2026)
by: Lee, Kooktae
Published: (2026)
Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
by: Studt, Max, et al.
Published: (2026)
by: Studt, Max, et al.
Published: (2026)
STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
by: Xu, Jianye, et al.
Published: (2024)
by: Xu, Jianye, et al.
Published: (2024)
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
by: Chung, Jaehoon, et al.
Published: (2023)
by: Chung, Jaehoon, et al.
Published: (2023)
A Prototyping Framework for Distributed Control of Multi-Robot Systems
by: Memon, Junaid Ahmed, et al.
Published: (2026)
by: Memon, Junaid Ahmed, et al.
Published: (2026)
Reinforcement Learning Aided Sequential Optimization for Unsignalized Intersection Management of Robot Traffic
by: G., Nishchal Hoysal, et al.
Published: (2023)
by: G., Nishchal Hoysal, et al.
Published: (2023)
Engagement-Zone-Aware Input-Constrained Guidance for Safe Target Interception in Contested Environments
by: Ranjan, Praveen Kumar, et al.
Published: (2026)
by: Ranjan, Praveen Kumar, et al.
Published: (2026)
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
by: Li, Jianan, et al.
Published: (2025)
by: Li, Jianan, et al.
Published: (2025)
Homotopy-aware Multi-agent Navigation via Distributed Model Predictive Control
by: Dong, Haoze, et al.
Published: (2025)
by: Dong, Haoze, et al.
Published: (2025)
Deep Reinforcement Learning for Decentralized Multi-Robot Control: A DQN Approach to Robustness and Information Integration
by: Wu, Bin, et al.
Published: (2024)
by: Wu, Bin, et al.
Published: (2024)
Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
by: Remy, Isaac, et al.
Published: (2026)
by: Remy, Isaac, et al.
Published: (2026)
Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware
by: Smith, Keshawn, et al.
Published: (2025)
by: Smith, Keshawn, et al.
Published: (2025)
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control
by: Kim, Hansung, et al.
Published: (2024)
by: Kim, Hansung, et al.
Published: (2024)
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
by: Xu, Jianye, et al.
Published: (2024)
by: Xu, Jianye, et al.
Published: (2024)
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)
by: Guo, Xudong, et al.
Published: (2024)
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2025)
by: Wu, Zida, et al.
Published: (2025)
HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning
by: Ratnabala, Lavanya, et al.
Published: (2025)
by: Ratnabala, Lavanya, et al.
Published: (2025)
A Hierarchical Reinforcement Learning Framework for Multi-UAV Combat Using Leader-Follower Strategy
by: Pang, Jinhui, et al.
Published: (2025)
by: Pang, Jinhui, et al.
Published: (2025)
UAVGENT: A Language-Guided Distributed Control Framework
by: Zhang, Ziyi, et al.
Published: (2026)
by: Zhang, Ziyi, et al.
Published: (2026)
Synchronization-Based Cooperative Distributed Model Predictive Control
by: Beerwerth, Julius, et al.
Published: (2024)
by: Beerwerth, Julius, et al.
Published: (2024)
Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions
by: Chandra, Rohan, et al.
Published: (2023)
by: Chandra, Rohan, et al.
Published: (2023)
Similar Items
-
Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation
by: Zinage, Vrushabh, et al.
Published: (2024) -
Deep Equivariant Multi-Agent Control Barrier Functions
by: Bousias, Nikolaos, et al.
Published: (2025) -
Safe Decentralized Multi-Agent Control using Black-Box Predictors, Conformal Decision Policies, and Control Barrier Functions
by: Huriot, Sacha, et al.
Published: (2024) -
Collaborative Safe Formation Control for Coupled Multi-Agent Systems
by: Butler, Brooks A., et al.
Published: (2023) -
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
by: Sebastian, Eduardo, et al.
Published: (2023)