Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
In tightly cooperative manipulation tasks, robotic manipulators must follow collision‐free and coordinated trajectories. Existing multiagent learning frameworks often rely on centralized planners that provide strong coordination but fail to scale with larger teams. Alternatively, decentralized approaches offer better s...