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Deep Reinforcement Learning This category page features the latest and most popular books on deep reinforcement learning. Reinforcement learning is an advanced machine learning technique where an agent learns to take actions in an environment to maximize rewards. Deep reinforcement learning combines deep neural networks with reinforcement learning for enhanced performance. This page includes bestselling titles that teach concepts and provide hands-on application in areas like robotics, game playing, web automation, and more. Readers will learn state-of-the-art methods like deep Q-networks, policy gradients, AlphaGo Zero, and much more. The audience ranges from those new to deep learning looking for an introduction, to experienced practitioners aiming to stay up-to-date on the latest techniques.
The Most Popular in Deep Reinforcement Learning
Hands-On Intelligent Agents with OpenAI Gym