Shared-Roadmap Generation and Evaluator for Multi-Agent Path Planning Using Heterogeneous Graph Neural Network
cs.AI, cs.LG, cs.MA, cs.RO
Submitted: 2026-10-06
Updated: 2026-10-06
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization
- Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
- Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent
- CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
- Improving Continuous-time Conflict Based Search
- pc-dbCBS: Kinodynamic Motion Planning of Physically-Coupled Robot Teams
- Safe Interval Path Planning With Kinodynamic Constraints
- db-LaCAM: Fast and Scalable Multi-Robot Kinodynamic Motion Planning with Discontinuity-Bounded Search and Lightweight MAPF
- Graph Attention Networks
- GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
- Focal Loss for Dense Object Detection
- Laplacian-Steered Neural Style Transfer
- Decoupled Weight Decay Regularization
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