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Developed a simple reflex agent program in Python for the vacuum-cleaner world problem. This program defines the States, Goal State, Goal Test, Actions, Transition Model, and Path Cost. For each possible initial state, the program returns a sequence of actions that leads to the goal state, along with the path cost.
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"I've created a Python program for an AI vacuum cleaner agent. It's designed to autonomously clean indoor spaces using basic machine learning and robotics techniques. The program utilizes simple algorithms for navigation and cleaning, without sophisticated learning capabilities. It's a basic implementation focused on functionality ,not advanced
Developed a simple reflex agent program in Python for the vacuum-cleaner world problem. This program defines the States, Goal State, Goal Test, Actions, Transition Model, and Path Cost. For each possible initial state, the program returns a sequence of actions that leads to the goal state, along with the path cost. Generates two test cases.
This is a Python3 agent that implements a simulator for a vacuum cleaner and it is introduction to Artificial Intelligence. A smart agent that cleans rooms size of n * n; Agent can move Up, Down, Left, Right + calculate performance each round.
Developed a simple reflex agent program in Python for the vacuum-cleaner world problem. This program defines the States, Goal State, Goal Test, Actions, Transition Model, and Path Cost. For each possible initial state, the program returns a sequence of actions that leads to the goal state, along with the path cost. Generates two test cases.
The vacuum cleaner can move left or right within the grid using the move_left and move_right methods. The clean method marks dirty cells as "Clean" when the vacuum cleaner encounters them. The draw_grid method visualizes the grid using Turtle graphics, with dirty cells displayed in red and clean cells in white. The run method executes the ...
A simple vacuum cleaner problem in AI that acts as a goal based agent. The environment is a 8x8 maze surrounding by walls. Each cell is a room. We have two rooms i.e A and B The walls are always clean. The agent cannot pass through the wall. The agent can go north, south, east, and west. There is dirt in both the rooms and it is to be cleaned.
To associate your repository with the vacuum-cleaner-world topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
To associate your repository with the vacuum-cleaner topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
