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 ... the algorithm will choose as action (next ...

In order to elaborate on this concept and demonstrate the fundamentals of reinforcement learning, two well-known algorithms ... Q-value since it has learned its policy based on the optimum policy. Let ...

Example: Agent wants to go to the east ... Two arrows basically mean that for the both actions Q(s,a) value was the same and equal to the maximum. The algorithm converges after 34 iterations. Here we ...

taken as example of graph problem. The paper consists of conversion of maze matrix to Q — Learning reward matrix, and also the implementation of Q — Learning algorithm for the reward matrix (similar ...