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KDG-SemNOMA transforms 6G robotic vehicle communications by significantly enhancing visual perception while minimizing bandwidth and energy usage.
By weighting Q-learning updates based on action similarity, QSIM tames overestimation in multi-agent RL, leading to more stable and effective learning.
