Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
by Maxim Lapan
A hands-on introduction to deep reinforcement learning covering Q-networks, policy gradients, TRPO, and AlphaGo Zero techniques for practical applications.
About This Book
This book introduces reinforcement learning concepts and their implementation with deep neural networks.
Readers explore value iteration, policy gradients, and advanced algorithms including TRPO and AlphaGo Zero techniques.
The content focuses on hands-on application of deep Q-networks and related methods for solving complex problems.
Topics are presented to support practical understanding of modern reinforcement learning approaches.
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