Name | pygame-spiel JSON |
Version |
1.0.0
JSON |
| download |
home_page | None |
Summary | Pygame spiel |
upload_time | 2024-10-16 16:58:59 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.9.1 |
license | MIT License Copyright (c) 2023 Giovanni Ortolani Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
keywords |
open_spiel
pygame
|
VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# Pygame_spiel: Pygame-based UI to play board Reinforcement Learning games from OpenSpiel
PygameSpiel is a [Pygame](https://www.pygame.org)-based library to play board games from the library [OpenSpiel](https://github.com/google-deepmind/open_spiel) against AI algorithms.
Pygame_spiel provides a graphical UI interface to play games from the library [OpenSpiel](https://github.com/google-deepmind/open_spiel). While by default Pygame_spiel allows to play against a few existing algorithms from OpenSpiel, it also enables users who are working with OpenSpiel to quickly test new algorithms. With this in mind, Pygame_spiel offers the possibility to plugin new BOTs in runtime for quick testing.
## Index
* [Installation](docs/installation.md)
* [Get started](docs/get_started.md)
## Overview
Use your mouse to select the cell (tic tac toe) or select pawn and destination cell (breakthrough).
![breakthrough_tic_tac_toe](https://github.com/giogix2/pygame_spiel/assets/5859539/dd5f8709-f383-497e-8317-a113ca50d1e7)
## Version 1.0.0
Games currently available:
* Breakthrough
* Tic Tac Toe
AI algorithms available:
* mcts, DQN (currently only for breakthrough)
**more to come...**
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"description": "# Pygame_spiel: Pygame-based UI to play board Reinforcement Learning games from OpenSpiel\nPygameSpiel is a [Pygame](https://www.pygame.org)-based library to play board games from the library [OpenSpiel](https://github.com/google-deepmind/open_spiel) against AI algorithms.\n\n\nPygame_spiel provides a graphical UI interface to play games from the library [OpenSpiel](https://github.com/google-deepmind/open_spiel). While by default Pygame_spiel allows to play against a few existing algorithms from OpenSpiel, it also enables users who are working with OpenSpiel to quickly test new algorithms. With this in mind, Pygame_spiel offers the possibility to plugin new BOTs in runtime for quick testing.\n\n## Index\n* [Installation](docs/installation.md)\n* [Get started](docs/get_started.md)\n\n## Overview\n\nUse your mouse to select the cell (tic tac toe) or select pawn and destination cell (breakthrough).\n\n![breakthrough_tic_tac_toe](https://github.com/giogix2/pygame_spiel/assets/5859539/dd5f8709-f383-497e-8317-a113ca50d1e7)\n\n## Version 1.0.0\nGames currently available: \n* Breakthrough\n* Tic Tac Toe\n\nAI algorithms available:\n* mcts, DQN (currently only for breakthrough)\n\n**more to come...**\n",
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