Multi-Agent Flow Matching with Decoupled Generative Guidance

arXiv:2609.38133 · cs.LG, cs.MA, cs.RO, math.OC · Submitted 2026-09-29 · Read on arXiv

cs.LG, cs.MA, cs.RO, math.OC

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Affordance — 27× in this paper · explained in 1 episode
• Flow Matching — 18× in this paper · explained in 8 episodes
• Wasserstein Distance — 8× in this paper · explained in 4 episodes
• Diffusion Model — 7× in this paper · explained in 8 episodes
• Diffusion Models — 7× in this paper · explained in 6 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Convergence Guarantees — 3× in this paper · explained in 3 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Control Barrier Functions (CBF) — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes

Sources

• SafeFlow: Safe Robot Motion Planning with Flow Matching via Control Barrier Functions
• On the Guidance of Flow Matching
• Provably Safe Generative Sampling with Constricting Barrier Functions
• Planning with Diffusion for Flexible Behavior Synthesis
• Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
• Flow Matching for Generative Modeling
• Diffusion-Guided Multi-Arm Motion Planning

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