Reinforcement Learning

Here,maze will act like an environment and our bot will be an agent which can perform certain action like moving along up, down,left,right. Performing an action also cause to change of state of our bot. Now,suppose out bot is trying to explore the environment.In the meantime,our bot will perform action,in turn it will get reward or punishment(negative reward) and by doing that process it's going to be learning about what was going to be exploring the environment, understanding what actions leads to good rewards and favourable states and what action leads to bad rewards and unfavorable state.