In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...

Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

The rate of change in AI algorithms complicates the decision-making process about what to put in software, and how flexible ...

However, the finite-time convergence analysis of the actor-critic algorithm remains to be explored. The main challenges lie in the nonconvexity of parameterized policies, the coupling of the updates ...

Several MLC algorithms have been proposed in the literature, resulting in a meta-optimization problem that the user needs to address: which MLC approach to select for a given dataset? To address this ...