the example of mario is reinforcement learning .
Can we call it as unsupervised learning? what is difference between two.
Hi Soumyadeep,
Yes, Mario played by the computer is Reinforcement Learning as it penalises the system whenever it takes wrong decision, in the case of mario, when it dies. Its called Policy learned by the system. So the next time it replays, it adapts according to the learned Policy. Say we have a computer program that plays the game Mario . It learns to control the character, receiving feedback from the environment in the form of a changing screen. Reinforcement learning tries to imitate the way a human or other intelligent being might interact with a new environment: trial and error
On the other hand, Unsupervised Learning deals with Unstructured and Unlabeled data being used to make a model for example using Clustering . This is where the machine is given training based on unlabeled data without any guidance.
Here is a link to an article if you still find your doubt uncleared. Supervised Vs Unsupervised Vs Reinforcement
I hope it helps.
Regards