Reinforcement Learning, Machine Learning, Policy, Data Science, Artificial Intelligence.
the edge of the maze and chooses to go into the direction of a wall around the maze, then its position stays the same. For example, if the agent is located at D3 and chooses to go to the right, then it will stay at D3 at the next state. Every move to any cell results in R = -1 reward except for two