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Legal guidelines, not scalar rewards, can guarantee compliant multi-agent motion planning, even with conflicting objectives and private agent goals.
RAM achieves an 86% F1-score in pose reachability with nanosecond inference, revolutionizing how robots can adapt to diverse morphologies in real-time.