Dual-Attention Heterogeneous GNN for Multi-robot Collaborative Area Search via Deep Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Lina, Cheng, Jiyu, Liu, Yuehu, Zhang, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Target Search and Navigation in Heterogeneous Robot Systems with Deep Reinforcement Learning
by: Chen, Yun, et al.
Published: (2023)
by: Chen, Yun, et al.
Published: (2023)
A Hierarchical Bin Packing Framework with Dual Manipulators via Heuristic Search and Deep Reinforcement Learning
by: Lee, Beomjoon, et al.
Published: (2025)
by: Lee, Beomjoon, et al.
Published: (2025)
HeR-DRL:Heterogeneous Relational Deep Reinforcement Learning for Decentralized Multi-Robot Crowd Navigation
by: Zhou, Xinyu, et al.
Published: (2024)
by: Zhou, Xinyu, et al.
Published: (2024)
Dual-Quadruped Collaborative Transportation in Narrow Environments via Safe Reinforcement Learning
by: Lei, Zhezhi, et al.
Published: (2026)
by: Lei, Zhezhi, et al.
Published: (2026)
Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
by: Xu, Cheng, et al.
Published: (2024)
by: Xu, Cheng, et al.
Published: (2024)
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
by: Escudie, Erwan, et al.
Published: (2024)
by: Escudie, Erwan, et al.
Published: (2024)
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception
by: Liu, Yandi, et al.
Published: (2025)
by: Liu, Yandi, et al.
Published: (2025)
Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks
by: Shida, Yuma, et al.
Published: (2024)
by: Shida, Yuma, et al.
Published: (2024)
HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
by: Cao, Yuhong, et al.
Published: (2025)
by: Cao, Yuhong, et al.
Published: (2025)
Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration
by: Ma, Yixiao, et al.
Published: (2024)
by: Ma, Yixiao, et al.
Published: (2024)
Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs
by: Zhu, Guobin, et al.
Published: (2025)
by: Zhu, Guobin, et al.
Published: (2025)
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)
by: Guo, Xudong, et al.
Published: (2024)
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)
Deep Reinforcement Learning-Based Semi-Autonomous Control for Magnetic Micro-robot Navigation with Immersive Manipulation
by: Mao, Yudong, et al.
Published: (2025)
by: Mao, Yudong, et al.
Published: (2025)
Dimension-variable Mapless Navigation with Deep Reinforcement Learning
by: Zhang, Wei, et al.
Published: (2020)
by: Zhang, Wei, et al.
Published: (2020)
Deep Reinforcement Learning for Decentralized Multi-Robot Exploration With Macro Actions
by: Tan, Aaron Hao, et al.
Published: (2021)
by: Tan, Aaron Hao, et al.
Published: (2021)
Above and Below: Heterogeneous Multi-robot SLAM Across Surface and Underwater Domains
by: McConnell, John, et al.
Published: (2026)
by: McConnell, John, et al.
Published: (2026)
Heterogeneous Multi-robot Task Allocation for Long-Endurance Missions in Dynamic Scenarios
by: Calvo, Alvaro, et al.
Published: (2024)
by: Calvo, Alvaro, et al.
Published: (2024)
Skill-Aware Diffusion for Generalizable Robotic Manipulation
by: Huang, Aoshen, et al.
Published: (2026)
by: Huang, Aoshen, et al.
Published: (2026)
COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems
by: Zhang, Yifeng, et al.
Published: (2026)
by: Zhang, Yifeng, et al.
Published: (2026)
Evolutionary Morphology Towards Overconstrained Locomotion via Large-Scale, Multi-Terrain Deep Reinforcement Learning
by: Chen, Yenan, et al.
Published: (2024)
by: Chen, Yenan, et al.
Published: (2024)
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)
by: Shi, Yuchen, et al.
Published: (2024)
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport
by: Naito, Yusei, et al.
Published: (2024)
by: Naito, Yusei, et al.
Published: (2024)
Real-time simulation enabled navigation control of magnetic soft continuum robots in confined lumens
by: Tong, Dezhong, et al.
Published: (2025)
by: Tong, Dezhong, et al.
Published: (2025)
Multi-Loco: Unifying Multi-Embodiment Legged Locomotion via Reinforcement Learning Augmented Diffusion
by: Yang, Shunpeng, et al.
Published: (2025)
by: Yang, Shunpeng, et al.
Published: (2025)
HALO: Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization
by: Zhang, Hao, et al.
Published: (2026)
by: Zhang, Hao, et al.
Published: (2026)
Decentralized Heterogeneous Multi-Robot Collaborative Exploration for Indoor and Outdoor 3D Environments
by: Li, Yuxiang, et al.
Published: (2026)
by: Li, Yuxiang, et al.
Published: (2026)
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
by: Labiosa, Adam, et al.
Published: (2025)
by: Labiosa, Adam, et al.
Published: (2025)
MHRC: Closed-loop Decentralized Multi-Heterogeneous Robot Collaboration with Large Language Models
by: Yu, Wenhao, et al.
Published: (2024)
by: Yu, Wenhao, et al.
Published: (2024)
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)
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
by: Chen, Changan, et al.
Published: (2018)
by: Chen, Changan, et al.
Published: (2018)
Reinforcement Learning to improve delta robot throws for sorting scrap metal
by: Louette, Arthur, et al.
Published: (2024)
by: Louette, Arthur, et al.
Published: (2024)
Bin Packing Optimization via Deep Reinforcement Learning
by: Wang, Baoying, et al.
Published: (2024)
by: Wang, Baoying, et al.
Published: (2024)
Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems
by: Karam, Riwa, et al.
Published: (2026)
by: Karam, Riwa, et al.
Published: (2026)
Achieving Stable High-Speed Locomotion for Humanoid Robots with Deep Reinforcement Learning
by: Zhang, Xinming, et al.
Published: (2024)
by: Zhang, Xinming, et al.
Published: (2024)
Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning
by: Drid, Abdel Hakim, et al.
Published: (2025)
by: Drid, Abdel Hakim, et al.
Published: (2025)
MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models
by: Liu, Kehui, et al.
Published: (2024)
by: Liu, Kehui, et al.
Published: (2024)
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
by: Bi, Xiaojun, et al.
Published: (2024)
by: Bi, Xiaojun, et al.
Published: (2024)
ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration
by: Zhao, Rongfeng, et al.
Published: (2026)
by: Zhao, Rongfeng, et al.
Published: (2026)
Similar Items
-
Target Search and Navigation in Heterogeneous Robot Systems with Deep Reinforcement Learning
by: Chen, Yun, et al.
Published: (2023) -
A Hierarchical Bin Packing Framework with Dual Manipulators via Heuristic Search and Deep Reinforcement Learning
by: Lee, Beomjoon, et al.
Published: (2025) -
HeR-DRL:Heterogeneous Relational Deep Reinforcement Learning for Decentralized Multi-Robot Crowd Navigation
by: Zhou, Xinyu, et al.
Published: (2024) -
Dual-Quadruped Collaborative Transportation in Narrow Environments via Safe Reinforcement Learning
by: Lei, Zhezhi, et al.
Published: (2026) -
Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
by: Xu, Cheng, et al.
Published: (2024)