An optimal route selection with reinforcement learning for the waste management in Dhaka city
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In the capital city of Dhaka, currently, one of the biggest problems is its waste management. Because of over-population, the amount of waste produced every day is so high that it can not be handled properly with the infrastructural aid available now. Transporting the wastes faces a lot of obstacles because of the road and the traffic conditions. As a result, the whole operation is delayed. Furthermore, maintaining a hygienic situation becomes an impossible task. In this work, a modified system will be proposed for dumping wastes in different parts of the city. By using two reinforcement learning techniques (Q-learning, SARSA) imposed in this model, the system will be allowed to find the optimal route for the waste-carrying vehicle so that a faster transportation is ensured so that a suitable state of the environment can be sustained.