2 results about "Maximum entropy method" patented technology

The invention discloses an intake tower anti-seismic reliability maximum entropy calculation method based on a dynamic integral boundary. The method comprises the following steps: firstly, determining a plurality of anti-seismic performance levels of an intake tower and corresponding tower top displacement thresholds; taking the seismic oscillation peak acceleration as a random variable, and generating sample points by using a layered Latin hypercube sampling method; adopting a C-P power spectrum model to generate a random seismic wave sample; obtaining a structure response value through finite element dynamic analysis, and constructing a performance function, thereby calculating first four-order statistical moments of the performance function; dynamically determining an integral boundary for each performance level; and by taking the statistical moment as a constraint, fitting a probability density function of the performance function by applying a maximum entropy method in a dynamic boundary, and carrying out integral calculation on the probability density function to obtain a failure probability and a reliable index. Thus, the problem that the fixed integral boundary and the performance level of a traditional maximum entropy method are disjointed is solved, the calculation efficiency is guaranteed, and meanwhile an accurate quantification means is provided for evaluating the anti-seismic reliability of the water inlet tower.

This invention discloses a maximum entropy reinforcement learning method based on covariance parameterization, belonging to the fields of intelligent control and machine learning. This method achieves explicit control and automatic adjustment of policy entropy by parameterizing the covariance matrix of the policy distribution, thereby improving the policy's ability to explore the continuous action space. This invention further overcomes the limitation of traditional maximum entropy methods that rely solely on standard deviation methods, realizing a more advanced maximum entropy policy optimization method. This invention includes policy covariance parameterization and a positive definite covariance constraint mechanism. Experiments show that this invention is effective and performs better than existing methods in experimental environments. This invention is applicable to applications such as robot control and intelligent agent navigation.