This project optimizes task offloading in autonomous vehicles (AVs)🚘 using Q-learning 🤖 and edge computing ☁️. By analyzing task priority, server availability & network conditions 📡, it ensures low latency ⏳, efficient resource use 🔋, and high task success rates ✅. Future work includes real-time traffic & AI-driven optimizations 🚦📊.
☆11Feb 27, 2025Updated last year
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