How the Usage of Reinforcement Learning is Emerging? Figure Out RL's Importance, Algorithms, and Much More...
Abstract : Reinforcement learning enables a computer agent to learn behaviors based on the feedback received for its past actions. Reinforcement learning (RL) is defined as a sub-field of machine learning that enables AI-based systems to take actions in a dynamic environment through trial and error methods to maximize the collective rewards based on the feedback generated for respective actions. This article explains reinforcement learning, how it works, its algorithms, and some real-world uses. Keywords Reinforcement Learning, Algorithms, Dynamic Environment, Q-learning, AI Driven Systems, Pictorial Representation Learning Outcomes After undergoing this article you will be able to understand the following: 1. What Is Reinforcement Learning? 2. How Reinforcement Learning Works? 3. How algorithm for Reinforcement Learning is developed? 4. What are the Uses of Reinforcement Learning? 5. What are the advantages of Reinforcement Learning? 6. Which Companies are u