karim-walid-wahdan / Adaptive-Reinforcement-Learning-for-Local-Dynamic-Path-Planning-in-Autonomous-DrivingLinks
Adaptive Reinforcement Learning for local dynamic path planning in autonomous driving. A Bachelor's thesis project at GUC aims to develop a robust solution, leveraging adaptive RL techniques, enabling self-driving cars to navigate complex environments efficiently and safely.
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