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searchopt_lab1's Introduction

Lab 1 - Uninformed Search for Sokoban Puzzle

This project was completed as part of the Search and Optimization course at Chung-Ang University during the 1st semester of 2023.

Project Description

The project involved designing an algorithm to solve the Sokoban puzzle. The algorithm uses Uniform Cost Search to efficiently explore the search space and find the optimal path to the goal state. The search function in the Assignment1 class contains the implementation of the algorithm.

Running the Code

To run the code, you need to have Python 3 and the following libraries installed:

  • numpy
  • gym-sokoban

You can install the libraries using the following command:

pip install -r requirements.txt

After installing the libraries, you can run the code using the following command:

python main.py

Project Team

The project was completed by:

  • C.C., YERAY - 예라이: 50221#70

License

This project is licensed under the MIT License.

searchopt_lab1's People

Contributors

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