Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Yuchen, Duan, Shihong, Xu, Cheng, Wang, Ran, Ye, Fangwen, Yuen, Chau |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
by: Xu, Cheng, et al.
Published: (2024)
by: Xu, Cheng, et al.
Published: (2024)
Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms
by: Jin, Zixuan, et al.
Published: (2026)
by: Jin, Zixuan, et al.
Published: (2026)
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)
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)
by: Yu, Xin, et al.
Published: (2023)
Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
by: Mohaya, Turki Bin, et al.
Published: (2026)
by: Mohaya, Turki Bin, et al.
Published: (2026)
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
by: Hua, Min, et al.
Published: (2023)
by: Hua, Min, et al.
Published: (2023)
Efficient Multi-Agent Coordination via Dynamic Joint-State Graph Construction
by: Zhou, Yanlin, et al.
Published: (2025)
by: Zhou, Yanlin, et al.
Published: (2025)
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
by: Ratnabala, Lavanya, et al.
Published: (2025)
by: Ratnabala, Lavanya, 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)
MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
by: Chiun, Jimmy, et al.
Published: (2025)
by: Chiun, Jimmy, et al.
Published: (2025)
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)
Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
by: Goeckner, Anthony, et al.
Published: (2024)
by: Goeckner, Anthony, et al.
Published: (2024)
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
by: Feng, Pu, et al.
Published: (2024)
by: Feng, Pu, et al.
Published: (2024)
Deep Reinforcement Learning for Multi-Agent Coordination
by: Aina, Kehinde O., et al.
Published: (2025)
by: Aina, Kehinde O., et al.
Published: (2025)
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)
Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles
by: Zhang, Zhili, et al.
Published: (2023)
by: Zhang, Zhili, et al.
Published: (2023)
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 Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees
by: Strawn, Kegan J., et al.
Published: (2025)
by: Strawn, Kegan J., 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)
Cooperation and Fairness in Multi-Agent Reinforcement Learning
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
by: Aloor, Jasmine Jerry, et al.
Published: (2024)
Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
by: Lee, Kanghoon, et al.
Published: (2026)
by: Lee, Kanghoon, et al.
Published: (2026)
Latent Space Reinforcement Learning for Multi-Robot Exploration
by: Rajasekar, Sriram, et al.
Published: (2026)
by: Rajasekar, Sriram, et al.
Published: (2026)
CGoT: A Novel Inference Mechanism for Embodied Multi-Agent Systems Using Composable Graphs of Thoughts
by: Nie, Yixiao, et al.
Published: (2025)
by: Nie, Yixiao, et al.
Published: (2025)
Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment
by: Brotee, Shamyo, et al.
Published: (2024)
by: Brotee, Shamyo, et al.
Published: (2024)
Graph-Based Complexity Metrics for Multi-Agent Curriculum Learning: A Validated Approach to Task Ordering in Cooperative Coordination Environments
by: Ebadulla, Farhaan, et al.
Published: (2025)
by: Ebadulla, Farhaan, et al.
Published: (2025)
Deep Equivariant Multi-Agent Control Barrier Functions
by: Bousias, Nikolaos, et al.
Published: (2025)
by: Bousias, Nikolaos, et al.
Published: (2025)
A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization
by: Paine, Tyler M., et al.
Published: (2023)
by: Paine, Tyler M., et al.
Published: (2023)
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
Fast and Communication-Efficient Multi-UAV Exploration Via Voronoi Partition on Dynamic Topological Graph
by: Dong, Qianli, et al.
Published: (2024)
by: Dong, Qianli, et al.
Published: (2024)
A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation
by: Lv, Yang, et al.
Published: (2024)
by: Lv, Yang, 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)
Multi-Modal Decentralized Reinforcement Learning for Modular Reconfigurable Lunar Robots
by: Mishra, Ashutosh, et al.
Published: (2025)
by: Mishra, Ashutosh, et al.
Published: (2025)
MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement Learning
by: Aschu, Demetros, et al.
Published: (2024)
by: Aschu, Demetros, et al.
Published: (2024)
CTS-CBS: A New Approach for Multi-Agent Collaborative Task Sequencing and Path Finding
by: Jiang, Junkai, et al.
Published: (2025)
by: Jiang, Junkai, et al.
Published: (2025)
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)
SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics
by: Zhu, Yicheng, et al.
Published: (2026)
by: Zhu, Yicheng, et al.
Published: (2026)
Multi-Agent Vulcan: An Information-Driven Multi-Agent Path Finding Approach
by: Olkin, Jake, et al.
Published: (2024)
by: Olkin, Jake, et al.
Published: (2024)
Can a Robot Walk the Robotic Dog: Triple-Zero Collaborative Navigation for Heterogeneous Multi-Agent Systems
by: Wang, Yaxuan, et al.
Published: (2026)
by: Wang, Yaxuan, et al.
Published: (2026)
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023)
by: Yu, Xin, et al.
Published: (2023)
DECAMP: Towards Scene-Consistent Multi-Agent Motion Prediction with Disentangled Context-Aware Pre-Training
by: Shi, Jianxin, et al.
Published: (2025)
by: Shi, Jianxin, et al.
Published: (2025)
Similar Items
-
Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
by: Xu, Cheng, et al.
Published: (2024) -
Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms
by: Jin, Zixuan, et al.
Published: (2026) -
HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning
by: Ratnabala, Lavanya, et al.
Published: (2025) -
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
by: Yu, Xin, et al.
Published: (2023) -
Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
by: Mohaya, Turki Bin, et al.
Published: (2026)