abhisheknaik96/MultiAgentTORCS
The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.
This project helps autonomous vehicle researchers develop and test control algorithms for self-driving cars in complex, multi-car environments. You can input your driving algorithms and simulate how multiple cars behave on a track simultaneously. This is designed for researchers and engineers working on autonomous driving systems and multi-agent reinforcement learning.
146 stars. No commits in the last 6 months.
Use this if you need to simulate and test different control algorithms for multiple autonomous vehicles interacting in a shared virtual environment.
Not ideal if you are looking for a plug-and-play solution for real-world autonomous vehicle deployment or a simulator for basic single-agent driving scenarios.
Stars
146
Forks
33
Language
Python
License
—
Category
Last pushed
Feb 28, 2019
Commits (30d)
0
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