GonVas/CarlaFinal
Carla Multi Agent Deep Reinforcement Learning
This project helps self-driving car engineers and researchers train multiple autonomous vehicles to drive safely and collaboratively. It takes in realistic sensor data, like camera images and vehicle information, and outputs trained driving policies that allow vehicles to navigate complex scenarios. The primary users are researchers focused on developing advanced AI for autonomous systems.
No commits in the last 6 months.
Use this if you are researching or developing multi-agent reinforcement learning systems for autonomous driving simulations and need to train vehicles to interact safely.
Not ideal if you are looking for an off-the-shelf, production-ready autonomous driving solution or a general-purpose reinforcement learning library without a specific focus on multi-agent vehicle control.
Stars
22
Forks
3
Language
Python
License
—
Category
Last pushed
Nov 27, 2020
Commits (30d)
0
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