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Exploring deep reinforcement learning

Practical AI

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The Rise and Challenges of Deep Reinforcement Learning

This chapter examines the rise of deep reinforcement learning (DRL) and its advantages over traditional models, while also addressing its limitations like inefficiency and overfitting. It highlights the practical applications of DRL and the challenges encountered in various environments affecting agent performance.

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