Q-Learning-master.zip_One Three One_Q learning_Q-learning_learni

# Q-Learning + Successfully implemented Q-Learning for a simple robot navigation problem of a robot moving on a 5 x 5 grid with one arbitrary goal (reward of +10) and three arbitrary obstacles (reward of -10) + Algorithm used is: 1. Initialize q-table with all zeroes 2. Loop + Pick a random start state, action(s,a) transition + make transistion from(s,a) -> s’ + receive reward + Update Q(s,a) <- R(s,a) + gamma*(max(Q(s’,for all actions possible from next state))) + Run from main.m