Abstract: Learning efficient coordination policies over continuous state and action spaces remains a huge challenge for existing distributed multi-agent reinforcement learning (MARL) algorithms. In ...
Abstract: This study explores the adaptive event-triggered output feedback consensus problem in linear multi-agent systems (MASs) subject to input saturation. It provides a semi-global solution ...
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