Emmanuel-Naive/MATD3
Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships
This project helps maritime professionals, like ship captains, navigators, or fleet managers, simulate and plan safe routes for multiple vessels. You provide initial positions and intended destinations for ships in various scenarios (like head-on or crossing paths), and the system generates optimized, collision-free movement paths. It's designed for anyone needing to analyze and ensure the safe navigation of ships in complex environments.
No commits in the last 6 months.
Use this if you need to simulate and find optimal, collision-free paths for multiple ships in challenging navigation scenarios.
Not ideal if you are looking for real-time autonomous navigation systems for physical vessels, as this is a simulation and pathfinding tool.
Stars
65
Forks
5
Language
Python
License
—
Category
Last pushed
Jan 02, 2023
Commits (30d)
0
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