deep reinforcement learning hands-on 2nd edition pdf hqgg

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==> deep reinforcement learning hands-on 2nd edition pdf <==

"Deep Reinforcement Learning Hands-On, 2nd Edition" is a comprehensive guide by Maxim Lapan that explores practical applications of deep reinforcement learning (DRL) using Python and PyTorch. This updated edition provides hands-on experience with DRL algorithms, offering a range of practical exercises and real-world examples. It covers advanced topics like policy gradient methods and actor-critic algorithms, aimed at helping readers build and deploy their own DRL models. The book is well-suited for those with a basic understanding of machine learning who want to dive deeper into the field of reinforcement learning.