45 RL environment and model

[ArzhelaR]

Closes #45
Add a reinforcement learning environment for the meshing problem.
Integrate the PPO and actor-critic models, along with the reinforce algorithm and a neural network policy.
New module for visualizing both the mesh and the dataset, and new functions to plot the learning process.
The main file has been divided into two separate files: "train" and "user_game."

[codacy-production]

Coverage summary from Codacy

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Coverage variation	Diff coverage
✅ +0.25% (target: -1.00%)	✅ 83.78%

Coverage variation details

	Coverable lines	Covered lines	Coverage
Common ancestor commit (f66cba8)	613	541	88.25%
Head commit (d03f6d8)	670 (+57)	593 (+52)	88.51% (+0.25%)

Coverage variation is the difference between the coverage for the head and common ancestor commits of the pull request branch: <coverage of head commit> - <coverage of common ancestor commit>

Diff coverage details

	Coverable lines	Covered lines	Diff coverage
Pull request (#52)	74	62	83.78%

Diff coverage is the percentage of lines that are covered by tests out of the coverable lines that the pull request added or modified: <covered lines added or modified>/<coverable lines added or modified> * 100%

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