[Yume27]

Description

Closes #325

Included an example script demonstrating target location uncertainty modeling with uncertainty growth over time.

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)
• New example script.

How should this pull request be reviewed?

• By commit
• All changes at once

How Has This Been Tested?

The code has been successfully run using the latest version of BSK-RL.

Future Work

N/A

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 new example Jupyter notebook demonstrating target location uncertainty modeling in BSK-RL. The example shows how to model uncertainty in target locations when imaging ground targets and how this uncertainty grows over time when targets are not imaged.

Key Changes:

• Implementation of a custom reward function that balances target priority with location uncertainty
• Custom environment that updates target uncertainty dynamically over time based on target movement
• Demonstration of duration-based imaging with uncertain target locations

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 13 comments.

File	Description
examples/target_location_uncertainty.ipynb	New example notebook demonstrating target location uncertainty modeling with classes for uncertain targets, uncertainty-aware rewards, custom satellite configuration, and dynamic uncertainty growth
examples/_default.rst	Added the new example to the documentation index
docs/source/release_notes.rst	Added release note entry for the new example script

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