Multi Agent Deep Recurrent Q-Learning for Different Traffic Demands

In today’s scenario due to rapid urbanisation there has been a shift of population from rural to urban areas especially in developing countries in search of better opportunities. This has lead to unprecedented growth of cities leading to various urbanisation problems. One of the main problems that comes across in urban areas is the increased...

Deep Q-Network Memory Sharing: Inter-Agent Prioritised Experience Replay

Humans teach each other by recollecting one's own experiences and sharing them with others. The intention being that the person being taught, does not need to experience those things first-hand to be able to learn from them. A large portion of human learning is in some form derived from this concept. This has inspired this report. <br/>Recent...