Introduction to Model-Based Reinforcement Learning

In this article, I want to give an introduction to Model-Based Reinforcement Learning. Talk about the fundamental concept behind MB-RL, the benefits of those methods, their applications, and also the challenges and difficulties that come with applying MB RL to your problem. In artificial intelligence (AI) sequential decision-making, commonly formalized as MDP, is one of the key challenges. Reinforcement Learning and Planning have been two successful approaches to solve these problems. A logical step would be to combine both methods in order to obtain advantages for both and hopefully eliminate their disadvantages.