This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
Sir as for as the report is concerned you have analyzed that the best result we got was around 90k. It is about 72% improvement. The average waiting times are about 160-200k which is still a significant improvement from our traditional methods. My question to you is how you have analyzed as I am not able to get these statistics and don't know how to get this total time? Can you please send the detailed work
Sir as for as the report is concerned you have analyzed that the best result we got was around 90k. It is about 72% improvement. The average waiting times are about 160-200k which is still a significant improvement from our traditional methods. My question to you is how you have analyzed as I am not able to get these statistics and don't know how to get this total time? Can you please send the detailed work