DA and Redispatch bidding

[nick-harder]

Pull Request

Related Issue

Closes #[issue number] (if applicable)

Description

[Provide a brief description of the changes in this PR]

Changes Proposed

• [List the main changes or features implemented]

Testing

[Describe the testing you've done, including any specific test cases or scenarios]

Checklist

Please check all applicable items:

• Code changes are sufficiently documented (docstrings, inline comments, doc folder updates)
• New unit tests added for new features or bug fixes
• Existing tests pass with the changes
• Reinforcement learning examples are operational (for DRL-related changes)
• Code tested with both local and Docker databases
• Code follows project style guidelines and best practices
• Changes are backwards compatible, or deprecation notices added
• New dependencies added to pyproject.toml
• A note for the release notes doc/release_notes.rst of the upcoming release is included
• Consent to release this PR's code under the GNU Affero General Public License v3.0

Additional Notes (if applicable)

[Any additional information, concerns, or areas you want reviewers to focus on]

Screenshots (if applicable)

[Add screenshots to demonstrate visual changes]

[codecov]

Codecov Report

Attention: Patch coverage is 15.95745% with 79 lines in your changes missing coverage. Please review.

Project coverage is 77.48%. Comparing base (4b9b7b0) to head (84c5a77).

Files with missing lines	Patch %	Lines
assume/strategies/learning_strategies.py	15.05%	79 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #533      +/-   ##
==========================================
- Coverage   78.31%   77.48%   -0.83%     
==========================================
  Files          51       51              
  Lines        7023     7116      +93     
==========================================
+ Hits         5500     5514      +14     
- Misses       1523     1602      +79     

Flag	Coverage Δ
pytest	77.48% <15.95%> (-0.83%)	⬇️

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