Feature/303 shielded training example

[LorenzzoQM]

Description

Closes #303

Adds an example script on how to train with shield using action replacement and action masking.

Type of change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)

How should this pull request be reviewed?

• By commit
• All changes at once

How Has This Been Tested?

Not applicable.

Checklist

• I have performed a self-review of my code
• I have commented my code in hard-to-understand areas
• I have made corresponding changes to the documentation and release notes
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works

[Copilot]

Pull Request Overview

This PR adds a comprehensive example demonstrating shielded training for reinforcement learning in satellite tasking environments. The implementation shows how to apply safety constraints during both training and testing phases using action replacement and action masking techniques.

• Introduces a complete Jupyter notebook example with satellite environment configuration, shield implementation, and training/testing workflows
• Implements wrapper classes for action logging, post-posed shielding (action replacement), and action masking
• Provides a handmade shield example based on power and reaction wheel constraints for satellite safety

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 4 comments.

File	Description
examples/training_with_shield.ipynb	Complete example notebook demonstrating shielded training with action replacement and masking
examples/_default.rst	Adds the new example to the documentation index
docs/source/release_notes.rst	Documents the new shielded training example feature

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[Copilot]

Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review.

[Mark2000]

Looks good.