Research on Intelligent Scheduling Scheme of Aerobics Competition for Multi-Intelligent Decision-Making

Multi-intelligent decision-making has a good development at present. Based on a series of technologies such as artificial intelligence, multi-intelligent decision-making is involved in many aspects, and the country also attaches great importance to the development of such science and technology. At the same time, at present, the development of the sports industry is not balanced. Even if the country values the sports industry, it needs investment in science and technology. This paper studies the scheduling scheme of aerobics competition in sports competition. By introducing the design scheme of a multi-intelligent decision-making system and improving the MFDRL-CTDE algorithm, the similarity between the action sequence of participants in aerobics competition and the standard action sequence is obtained. Three algorithms including Markov, MFDRL-CTDE algorithm, and improved MFDRL-CTDE algorithm are used for simulation experiments, and the improved MFDRL-CTDE algorithm is more effective and stable for the decision-making of aerobics competition.