Examples¶
This gallery contains examples demonstrating the functionality of scikit-agent. The examples are organized by topic and show how to use the various modules and classes in practical scenarios.
Each example is designed to be self-contained and can be run independently. The examples demonstrate real-world usage patterns and best practices for using scikit-agent in your research and applications. Monte Carlo simulation is demonstrated within the model examples (the consumption-portfolio and resource extraction walkthroughs both simulate their models).
Algorithms¶
This section contains examples of different algorithms available in scikit-agent. These examples demonstrate how to use various solution methods, optimization algorithms, and numerical techniques.
Training a Policy Network Against a Known Solution
The Maliar Training Loop on a Model With No Closed-Form Solution
Economic Models¶
This section contains examples demonstrating how to use and create economic models with scikit-agent. These examples show how to implement various economic theories and models using the framework.
Examples include consumption-savings models, portfolio choice problems, and other standard economic models that can be solved using reinforcement learning and other computational methods.
