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        "description": "# RLBotTraining\nCustomizable training for Rocket League bots of any language.\n\n## Tutorial: [Click Here](https://youtu.be/uGFmOZCpel8?list=PL6LKXu1RlPdxh9vxmG1y2sghQwK47_gCH)\n\n## Installation\n\n - Install Python 3.7 or later\n - `pip install rlbottraining`\n\n\n## Features at a glance\n\n - Uses `RLBot` config files to support bots in any programming language\n - Reproducable training setups with seeded randomness\n - Customizable Pass/Fail criteria\n - Importing of shots/playlists from BakkesMod training\n - Playlists of exercises\n - Automatic reloading of both bot and exercise code\n - Imports from bakkesmod training\n\n## Architecture\n\n - At the entry point (`run_exercises.py`) we decide which `GraderExercise` should be run and the `config_path`s define the RLBot setup to be used (which bots, which mode).\n - Each `GraderExercise` composes together the initial game state and how the bot is judged. The responsibility of judging the bot is handled by `Grader`s\n - A `Grader` decides whether to continue the exercise or to `Pass`/`Fail` the exercise by looking at each tick. A `Grader` may optionally gather metrics (e.g. \"time until goal\") to help track bot performance as the bot is improved.\n - Separation of responsiblity: This repository is designed to make it nice to define new exercises whereas the training API of the `RLBot` framework provides the minimum features for any training to occur.\n\n\n## Tips for writing your own exercises:\n\n - Always subclass `GraderExercise` rather than `Exercise`. Using `Grader`s will allows you to share termination conditions, safely store state across ticks and provide metrics.\n - Compose your `Grader`s. For instance, by using `CompoundGrader`\n - Provide meaningful error messages in your `Grader`s by subclassing `Fail`\n\n\n## Future direction\n\n - Provide an example of striker vs goalie\n - Put metrics (`Grader.get_metrics()`) into a database\n - A way of browsing past runs, including metrics\n - Reproducing failed exercises\n - Visualization of metrics\n - Continous integration of different bots",
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