Lstm learning to main

[kim-mskw]

Pull Request

Related Issue

Closes #270

Description

Enable the LSTM policies instead of the fully connected NN for RL in the MATD3 algorithm

Changes Proposed

Testing

Created a new environment and ran the examples and notebooks

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 62.58503% with 55 lines in your changes missing coverage. Please review.

Project coverage is 76.57%. Comparing base (70a70ba) to head (a7fe3cf).
Report is 219 commits behind head on main.

Files with missing lines	Patch %	Lines
...nforcement_learning/neural_network_architecture.py	54.63%	44 Missing ⚠️
assume/common/utils.py	28.57%	5 Missing ⚠️
assume/strategies/learning_advanced_orders.py	66.66%	3 Missing ⚠️
assume/strategies/learning_strategies.py	80.00%	2 Missing ⚠️
...einforcement_learning/algorithms/base_algorithm.py	75.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #382      +/-   ##
==========================================
- Coverage   77.00%   76.57%   -0.43%     
==========================================
  Files          48       50       +2     
  Lines        5857     5938      +81     
==========================================
+ Hits         4510     4547      +37     
- Misses       1347     1391      +44     

Flag	Coverage Δ
pytest	76.57% <62.58%> (-0.43%)	⬇️

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[nick-harder]

thanks for the nice work, looks good! I have left some comments to fix before we can merge