Multi-agent reinforcement learning training method with high sample efficiency
A multi-agent and reinforcement learning technology, applied in machine learning, instrument, character and pattern recognition, etc., can solve problems such as high training cost and low sample efficiency, and achieve the effect of improving model performance, reducing time cost and economic cost
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[0033] The present invention will be further described in detail below with reference to the accompanying drawings and examples, and the following examples are intended to facilitate the understanding of the present invention, but will not afford any limits.
[0034] The method of the present invention is based on the low efficiency of the existing multi-intelligent body strength, high training costs, and, according to the improved empirical playback method, specifically, the present invention has data acquisition, data pretreatment, data utilization, etc. Using parallel environments, empirical enhancement, strategy delay update techniques, achieve effectiveness of time cost and economic cost, improve model performance. like figure 1 As shown, the overall flow chart of a multi-sample efficiency of the present invention is integrated.
[0035] The specific embodiment of the present invention will be described as an example in an example of a simple multi-intelligent task. For the c...
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