Deep Learning Lab-BAI701-Program 8

 

Program 8:

Simple Grid World Problem: Design a custom 2D grid world where the agent navigates from a start position to a goal, avoiding obstacles. Environment: Custom grid (easily implemented in Python)

 

1. Grid Setup

·         Defines a 5×5 grid.

·         Uses symbols to represent empty cells, the agent, goal, and obstacles.

2. Environment Configuration

·         Places obstacles at specific coordinates.

·         Sets the goal at the bottom-right corner.

·         The agent starts at the top-left corner.

3. Movement Path

A manually defined path that avoids obstacles and leads to the goal.

4. Grid Creation Function

5. Grid Display Function

Prints the grid row by row in the format you requested.

6. Simulation Loop

·         Moves the agent step-by-step through the path.

·         Displays the grid after each move with a short delay.