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`bridge.py`: Communication bridge between test/Model and simulation.\n  - `codes.py`: Code definitions and utilities.\n  - `comm.py`: Communication test interface.\n  - `visualize.py`: Visualization tools for data EnvironmentMap.save and results.\n\n- **simulation/**  \n  Simulation environment, assets, and configuration files.\n  - `config.json`: Simulation configuration parameters.\n  - `Assets/`, `Models/`, `Scenes/`, `Scripts/`, `Settings/`, `TutorialInfo/`: Unity or simulation assets and scripts.\n\n- **test/**\n  Testing and validation scripts for different phases.\n  - `il/`: Imitation learning tests.\n  - `il-map/`: Map-based imitation learning.\n  - `map-entegrated-mpc/`: MPC tests with mapping integration.\n  - `Model/`: Model-specific tests.\n  - `mpc/`: MPC algorithm tests.\n  - `ppo/`: Proximal Policy Optimization (PPO) reinforcement learning tests.\n\n## Features\n\n- **MPC Algorithm Development**: Core algorithms and utilities for MPC.\n- **Simulation Environment**: Configurable simulation for SIL, MIL, and HIL testing.\n- **Imitation Learning**: Scripts and tests for imitation learning phases.\n- **Reinforcement Learning**: PPO-based learning and testing.\n- **Visualization**: Tools for visualizing simulation and control results.\n- **Comprehensive Testing**: Organized test suites for all development phases.\n\n# License\n[GNU GENERAL PUBLIC LICENSE](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felymsyr%2Fauv_simulation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Felymsyr%2Fauv_simulation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felymsyr%2Fauv_simulation/lists"}