Reinforcement learning is dynamic programming in which algorithms are trained using reward and punishment systems. In simple terms, Reinforcement learning algorithms or agents learn by interacting with their environment. With Reinforcement learning, the machines can automatically determine the ideal behavior and maximize their performance in a given context. You can read a detailed version of Machine Learning Tutorial which explains Reinforcement Learning in detail.
To get a certification course in it, you can enroll for Intellipaat’s Reinforcement learning that is developed by industry experts to help you learn and accumulate expertise in reinforcement learning. You will be trained in concepts such as fundamentals of machine learning, reinforcement learning, and dynamic programming, Temporal Difference learning methods, Policy gradient methods, Markov decision, and deep Q learning.
To get started to watch the below Reinforcement Learning tutorial video:
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