Deepshikha Pandey

Learn More
This paper introduces an approach to Q-learning algorithm with rough set theory introduced by Zdzislaw Pawlak in 1981. During Q-learning, an agent makes action selections in an effort to maximize a reward signal obtained from the environment. Based on reward, agent will make changes in its policy for future actions. The problem considered in this paper is(More)
— 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(More)
  • 1