Customizable training for Rocket League bots of any language.

• Install Python 3.7 or later
• pip install rlbottraining

• Uses RLBot config files to support bots in any programming language
• Reproducable training setups with seeded randomness
• Customizable Pass/Fail criteria
• Importing of shots/playlists from BakkesMod training
• Playlists of exercises
• Automatic reloading of both bot and exercise code
• Imports from bakkesmod training

• At the entry point (run_exercises.py) we decide which GraderExercise should be run and the config_paths define the RLBot setup to be used (which bots, which mode).
• Each GraderExercise composes together the initial game state and how the bot is judged. The responsibility of judging the bot is handled by Graders
• 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.
• 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.

• Always subclass GraderExercise rather than Exercise. Using Graders will allows you to share termination conditions, safely store state across ticks and provide metrics.
• Compose your Graders. For instance, by using CompoundGrader
• Provide meaningful error messages in your Graders by subclassing Fail

• Provide an example of striker vs goalie
• Put metrics (Grader.get_metrics()) into a database
• A way of browsing past runs, including metrics
• Reproducing failed exercises
• Visualization of metrics
• Continous integration of different bots