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The example consists in learning the path to go outside (state = 5) given any init room (from 0 to 4): The states and actions can be converted to a graph where a reward is assigned if the agent ...
When beginning to study reinforcement learning, temporal difference learning is frequently used as an entry point. In order to elaborate on this concept and demonstrate the fundamentals of ...
Here we can see what are the optimal actions after the algorithm has converged and what are the according V-values. V-values are basically maximum Q-values for each state. In another words: for each ...
Machine learning is very important in several fields ranging from control systems to data mining. This paper presents Q — Learning implementation for abstract graph models with maze solving (finding ...