This paper introduces an approach to Reinforcement Learning Algorithm by
comparing their immediate rewards using a variation of Q-Learning algorithm.
Unlike the conventional Q-Learning, the proposed algorithm compares current
reward with immediate reward of past move and work accordingly. Relative reward
based Q-learning is an approach towards interactive learning. Q-Learning is a
model free reinforcement learning method that used to learn the agents.