python Overview of the policy gradient method and examples of algorithms and implementations
Policy Gradient Methods
Policy Gradient Methods are a type of reinforcement learning that focuses specifica...
最適化:Optimization
python python Overview of Dirichlet distribution and related algorithms and implementation examples
Overview of Dirichlet distribution
The Dirichlet distribution (Dirichlet distribution) is a type of multiv...
python Derivation of the Cramér-Rao Lower Bound (CRLB)
Derivation of the Cramér-Rao Lower Bound (CRLB)
The Clamell-Lauber lower bound provides a lower bound for measu...
python Overview of Gelman-Rubin Statistics and Related Algorithms and Examples of Implementations
Overview of Gelman-Rubin Statistics
The Gelman-Rubin statistic (or Gelman-Rubin diagnostic, Gelman-Rubin statis...
python Overview of Boltzmann Exploration and examples of algorithms and implementations
Overview of Boltzmann Exploration
Boltzmann Exploration is one of the methods used to balance search and ex...
幾何学:Geometry Cross-Entropy Loss
Overview of Cross-Entropy Loss
Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...
python Hesse Matrices and Regularity
Overview of Hessian matrix
A Hessian matrix is a matrix representation of the second-order partial derivatives ...
python Overview of ensemble learning and examples of algorithms and implementations
Overview of Ensemble Learning
Ensemble Learning, a type of machine learning, is a method of combining multiple ...
python Overview of Exponential Smoothing, Algorithm and Implementation Examples
Exponential Smoothing
Exponential Smoothing is one of the statistical methods used to predict time serie...
python Overview of Q-Learning and Examples of Algorithms and Implementations
Q-Learning
Q-Learning (Q-Learning) is a type of reinforcement learning, an algorithm that allows an agent t...