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This repository has been archived by the owner on Apr 10, 2023. It is now read-only.

Releases: yeray142/searchopt_lab1

Second trial: Due April 10th

10 Apr 04:00
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Release Notes

Second Trial

This is the second release of the Search and Optimization project. It includes the following features:

  • Implementation of Uniform Cost Search algorithm to solve Sokoban puzzle.
  • Testing system with some trials.
  • Ability to change difficulty and size of the game.
  • Time optimizations (using tuples instead of numpy arrays to make them hashable)

Installation

To install the project, 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

Usage

To run the game, you can use the following command:

python main.py

Known Issues

  • None

Future Plans

For future releases, we plan to add the following features:

  • Nothing, last release.

Contributors

  • C.C., Yeray - 예라이 - 50221#70

First trial: Due April 4th

07 Apr 06:29
5063b99
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Release Notes

First Trial

This is the first release of the Search and Optimization project. It includes the following features:

  • Implementation of Uniform Cost Search algorithm to solve Sokoban puzzle.
  • Testing system with some trials.
  • Ability to change difficulty and size of the game.

Installation

To install the project, 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

Usage

To run the game, you can use the following command:

python main.py

Known Issues

  • None

Future Plans

For future releases, we plan to add the following features:

  • Time optimizations.

Contributors

  • C.C., Yeray - 예라이 - 50221#70