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COLMAR boosts multi-agent 3D reconstruction accuracy by over 50% through smarter, cooperative viewpoint selection.
By recasting the Hamilton-Jacobi-Bellman equation as a tractable Monte Carlo estimation, this work stabilizes physics-informed RL and unlocks its potential for high-dimensional control tasks.
