Markov Decision Process, Reinforcement Learning, Machine Learning, Artificial Intelligence, Game Theory.
choose a dish from multiple options. Here, we can define a more complex but realistic scenario if we consider whether the agent is hungry or not. This would again create two states, one for when the agent is hungry, and another for when it isn’t. Two new states for the restaurant example. Image by