Learning Deep Reinforcement Learning

We learn by interacting with the environment, and the rewards and punishments we receive determine our future behavior. Deep reinforcement learning brings this natural process into artificial intelligence and involves analyzing results to identify the most effective ways to move forward. Deep reinforcement learning agents can contribute to the success of marketing campaigns, forecast stock growth, and defeat grandmasters in Go and chess. Let’s learn how to create deep learning systems through engaging exercises accompanied by Python code with detailed comments and clear explanations. You will see how algorithms work and learn how to create your own deep reinforcement learning agents using evaluative feedback.