# Examples

## Tutorial Notebooks

The following Jupyter notebooks provide hands-on examples and tutorials. You can view and download them directly:

### [📓 00-GetStarted.ipynb](00-GetStarted.ipynb)
**Basic introduction to StableRLS**
- Learn the fundamentals of StableRLS
- Set up your first environment
- Run a basic simulation

### [📓 01-Reward_Function.ipynb](01-Reward_Function.ipynb)
**Understanding and customizing reward functions**
- Learn how reward functions work
- Create custom reward functions
- Optimize training performance

### [📓 02-Advanced_Usage.ipynb](02-Advanced_Usage.ipynb)
**Advanced features and configurations**
- Explore advanced configuration options
- Use advanced simulation features
- Integrate with external tools

### [📓 03-Customising_Actions_Observations.ipynb](03-Customising_Actions_Observations.ipynb)
**How to customize the action and observation spaces**
- Define custom action spaces
- Configure observation spaces
- Handle complex state representations

### [📓 04-Customising_Timing.ipynb](04-Customising_Timing.ipynb)
**Timing configuration and control**
- Configure simulation timing
- Handle time-based events
- Synchronize with real-time systems

## Running the Notebooks

To run these notebooks locally:

1. Ensure you have Jupyter installed: `pip install jupyter`
2. Navigate to the notebooks directory: `cd docs/notebooks/`
3. Start Jupyter: `jupyter notebook`
4. Open any notebook file (.ipynb) in the Jupyter interface