Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications
English | 2025 | ISBN: 1394272553 | 405 Pages | PDF, EPUB (True) | 61 MB
Deep Reinforcement Learning (DRL) represents one of the most dynamic and impactful areas of research and development in the field of artificial intelligence. Bridging the gap between decision-making theory and powerful deep learning models, DRL has evolved from academic curiosity to a cornerstone technology driving innovation across numerous industries. Its core premise-enabling machines to learn optimal actions within complex environments through trial and error-has broad implications, from automating intricate decision processes to optimizing operations that were previously beyond the reach of traditional AI techniques.
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