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Deep Reinforcement Learning Hands-On - Second Edition
Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
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This updated guide delves into deep reinforcement learning, showcasing its applications in addressing intricate real-world challenges. The new edition features expanded content on multi-agent methods, discrete optimization, and the role of reinforcement learning in robotics. Additionally, it covers advanced exploration techniques, making it a comprehensive resource for both beginners and experienced practitioners seeking to deepen their understanding of this rapidly evolving field.
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Deep Reinforcement Learning Hands-On - Second Edition, Maxim Lapan
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- 2020
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