/Beta-Policy-Gradients-Methods-in-RL

Primary LanguagePython

Running the code

Dependencies

Make sure you have the following dependencies installed:

  • Python 3.x
  • NumPy
  • Gym

Running the main file

To run the main file, navigate to the directory where the file is located and run the following command:

python main.py

This will execute the main file and run the reinforcement learning algorithm on the specified environment.

File structure

The code is split into the following files:

  • main.py: This is the main file that contains the code for running the reinforcement learning algorithm.
  • functions.py: This file contains the definitions of the policy, gradients, and update_parameters_with_adam functions.
  • unn.py, vnn.py, Adam.py, baseline.py: These files contain additional functions and classes used in the main file.

Additional notes

Make sure that all of the required files are in the same directory, and that the file paths specified in the main file are correct.