Reinforcement learning-driven vehicular content caching
In-network caching can shorten the distances between consumers and contents. Therefore, we leverage in-network caching to enable vehicles to rapidly access vehicular contents such as road conditions, thereby giving vehicles sufficient time to correctly handle potential road hazards ahead. We propose a reinforcement lea...