توضیحات
This book provides practical guidance on building deep reinforcement learning (DRL) models with Python. Covering core algorithms, neural network integration, and real-world case studies, it equips students, researchers, and developers with the skills to design, train, and deploy DRL solutions effectively for complex decision-making and control tasks.










نقد و بررسیها
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