SPIN: Decentralized Swarm Control via Tensorized Policy Coordination
The SPIN framework uses tensor networks to optimize decentralized multi-agent swarm coordination on edge hardware.
SPIN models swarm topologies as compressed tensor networks, factorizing joint policy tensors into Matrix Product State (MPS) chains. This approach reduces computational complexity from exponential O(n^m) to linear O(m * n * χ^2), enabling efficient multi-agent control on resource-constrained edge devices.