1 results about "Maximum entropy method" patented technology

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.