In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...
This study proposes a novel solution approach for symbolic regression problems by integrating the multitask learning paradigm with a multi-gene genetic programming (MGGP) framework. The proposed ...
Abstract: This paper proposes a fixed-time output-feedback approximate optimal control strategy for the multi-pursuer single-evader game, addressing challenges of incomplete information, unknown ...
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