Imagen de Portada

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yu, Xin, Shi, Rongye, Feng, Pu, Tian, Yongkai, Li, Simin, Liao, Shuhao, Wu, Wenjun
Formato:	Preprint
Publicado:	2023
Materias:	Multiagent Systems Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
por: Yu, Xin, et al.
Publicado: (2023)

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
por: Feng, Pu, et al.
Publicado: (2024)

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
por: Liao, Shuhao, et al.
Publicado: (2025)

Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control
por: Mohaya, Turki Bin, et al.
Publicado: (2026)

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
por: Shi, Yuchen, et al.
Publicado: (2024)

Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
por: Xu, Cheng, et al.
Publicado: (2024)

Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
por: Yu, Taoyuan, et al.
Publicado: (2025)

Symmetry-Breaking in Multi-Agent Navigation: Winding Number-Aware MPC with a Learned Topological Strategy
por: Nakao, Tomoki, et al.
Publicado: (2025)

Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles
por: Zhang, Zhili, et al.
Publicado: (2023)

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware
por: Smith, Keshawn, et al.
Publicado: (2025)

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
por: Choi, Jason J., et al.
Publicado: (2025)

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
por: Sebastian, Eduardo, et al.
Publicado: (2023)

LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
por: Nayak, Siddharth, et al.
Publicado: (2024)

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
por: Hua, Min, et al.
Publicado: (2023)

Symmetries-enhanced Multi-Agent Reinforcement Learning
por: Bousias, Nikolaos, et al.
Publicado: (2025)

HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning
por: Ratnabala, Lavanya, et al.
Publicado: (2025)

MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
por: Chiun, Jimmy, et al.
Publicado: (2025)

Cooperation and Fairness in Multi-Agent Reinforcement Learning
por: Aloor, Jasmine Jerry, et al.
Publicado: (2024)

Deep Reinforcement Learning for Decentralized Multi-Robot Control: A DQN Approach to Robustness and Information Integration
por: Wu, Bin, et al.
Publicado: (2024)

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
por: Guo, Xudong, et al.
Publicado: (2024)

Latent Space Reinforcement Learning for Multi-Robot Exploration
por: Rajasekar, Sriram, et al.
Publicado: (2026)

Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies
por: Samak, Chinmay Vilas, et al.
Publicado: (2024)

Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment
por: Brotee, Shamyo, et al.
Publicado: (2024)

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
por: Goeckner, Anthony, et al.
Publicado: (2024)

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
por: Zhang, Ruiqi, et al.
Publicado: (2024)

Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
por: Yu, Peihong, et al.
Publicado: (2024)

Multi-Modal Decentralized Reinforcement Learning for Modular Reconfigurable Lunar Robots
por: Mishra, Ashutosh, et al.
Publicado: (2025)

MARFT: Multi-Agent Reinforcement Fine-Tuning
por: Liao, Junwei, et al.
Publicado: (2025)

Attrition-Aware Adaptation for Multi-Agent Patrolling
por: Goeckner, Anthony, et al.
Publicado: (2023)

Multi-Agent Vulcan: An Information-Driven Multi-Agent Path Finding Approach
por: Olkin, Jake, et al.
Publicado: (2024)

Aegis: Automated Error Generation and Attribution for Multi-Agent Systems
por: Kong, Fanqi, et al.
Publicado: (2025)

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
por: Lee, Kanghoon, et al.
Publicado: (2026)

DECAMP: Towards Scene-Consistent Multi-Agent Motion Prediction with Disentangled Context-Aware Pre-Training
por: Shi, Jianxin, et al.
Publicado: (2025)

Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study
por: Hady, Mohamad A., et al.
Publicado: (2025)

Cross-Modal Navigation with Multi-Agent Reinforcement Learning
por: Liu, Shuo, et al.
Publicado: (2026)

Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
por: Haroon, Adam, et al.
Publicado: (2025)

Multi-Agent Motion Planning with Bézier Curve Optimization under Kinodynamic Constraints
por: Yan, Jingtian, et al.
Publicado: (2023)

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
por: Nagpal, Kartik, et al.
Publicado: (2025)

Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning
por: Wang, Dawei, et al.
Publicado: (2024)

Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
por: Zhou, Xuan, et al.
Publicado: (2024)