Reinforcement learning (RL) has recently emerged as one of the most exciting and powerful areas of machine learning. Unlike supervised and unsupervised learning, where models learn from labelled or unlabelled data, reinforcement learning specifically focuses on training agents to make better decisions by actively interacting with an environment. This approach allows the agent to easily learn from its experiences by receiving rewards or penalties for actions it takes. Reinforcement learning has applications across various domains, including robotics, gaming, healthcare, finance, and autonomous driving. For students enrolled in a data science course in Pune, understanding the fundamentals of reinforcement learning is crucial. This article explores the basics of reinforcement learning and ...
Read More