The current era of artificial intelligence and machine learning (AIML) tools has transformed our daily lives, significantly impacting our private, professional, and social spheres. These tools have proven capable of solving many problems more effectively and faster than humans.

AI/ML tools enable machines and related systems to think and reason almost like humans, carrying profound intellectual and philosophical implications. The fields of machine learning are broadly categorized into three types: supervised, unsupervised, and deep reinforcement learning (DRL). The latter aligns more closely with the way humans think, with many innovations in this area offering practical applications.

This book covers most areas of deep reinforcement learning, with particular emphasis on its mathematical and algorithmic foundations. Undergraduate and early graduate students will find it a solid guide to the rapidly evolving fields of DRL and its numerous applications in both technical and social contexts.

Pages: 196, Dimensions: 13.8x13.8cm