DarkGeekMS / rl-grid-world

A college project for Machine Intelligence course. Exploring Reinforcement Learning using Direct Utility Estimation on grid world

Grid World with Reinforcement Learning

A college project for Machine Intelligence course. Exploring Reinforcement Learning using Direct Utility Estimation on grid world.

Description

• Direct Utility Estimation on three scenarios of grid world problem (4X3, 10X10 with different final reward positions).

• Two types of Direct Utility Estimation are considered :

  • Using tabular representation.
  • Using simple function approximator (shown in equation 21.10 in reference).

Usage

• Update policies within text files in policies folder. Text files are named after the numbers of the corresponding grid worlds.

• Run the direct utility estimation (using a specific representation on a specific grid) :

  python run.py <agent_number> <grid_number> <path/to/policy/text/file>