Python library for parallel multiobjective simulation optimization
-
Updated
Aug 30, 2024 - Python
Python library for parallel multiobjective simulation optimization
OMADS - A blackbox optimization python package
Adaptive_detection is a sophisticated reinforcement learning framework designed for autonomous driving applications using the CARLA simulator. The project integrates state-of-the-art YOLOv9 object detection to enable adaptive perception and decision-making in complex driving scenarios.
Add a description, image, and links to the simulation-based-optimization topic page so that developers can more easily learn about it.
To associate your repository with the simulation-based-optimization topic, visit your repo's landing page and select "manage topics."