Book Description: Title: Deep Reinforcement Learning Aske Plaat June 10, 2022 Aske Plaat Summary: Deep reinforcement learning has gained significant attention in recent years due to its impressive results in diverse fields such as autonomous driving, game playing, molecular recombination, and robotics. This book provides an overview of the field at the appropriate level of detail for a graduate course in artificial intelligence, covering basic algorithms like Deep Q-learning to advanced topics like multi-agent reinforcement learning and meta-learning. Inspired by biology and psychology, techniques in deep reinforcement learning work amazingly well in animal behavior and brain structure, with computers exhibiting human-like behavior. Introduction: In the realm of artificial intelligence, deep reinforcement learning has emerged as a groundbreaking technology that has captured the attention of researchers and educators alike. This book delves into the intricacies of this field, offering a comprehensive overview of the subject matter, from the fundamentals of Deep Q-learning to advanced concepts like multi-agent reinforcement learning and meta-learning. The author's proficient writing style makes the complex subject matter accessible to readers, making it an ideal resource for graduate courses in artificial intelligence.

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