01693cam a22002058i 450000500170000002000180001702000180003502000190005308200330007208400250010510000210013024500710015125000190022226000350024130000150027650400510029152010900034265000270143265000280145920260204130006.0  a9781032659794  a9781032651439  a9781032659794 00a006.31223/eng/20251215bMIS  2Colon Classification1 aMishra, Vinod K.13aAn introduction to deep reinforcement learning /cVinod K. Mishra.  aFirst edition.  aBoca Raton:bCRC Press,c2026.  avi, 195 p.  aIncludes bibliographical references and index.  a"The current era of artificial intelligence and machine learning (AIML) tools has transformed the workings of vast swaths of our private, working, and social lives beyond recognition. It has been found that they can solve many problems in better and faster ways compared to humans. AIML tools allow machines and related systems to reason and infer almost like humans, and this has deep intellectual and philosophical ramifications as well. The areas of machine learning are broadly classified into supervised, unsupervised, and deep reinforcement learning (DRL). The last one comes closest to how humans reason, and various innovations in this area have many useful applications. This book covers most of the areas of DRL with a special focus on its mathematical and algorithmic foundations. Undergraduate and early graduate students should find it to be a good guide to the fast-developing areas of DRL and its myriad applications. Hopefully, it will spur them to dive deep and understand the coming revolution in every aspect of society based on these ideas"-- Provided by publisher. 0aReinforcement learning 0aArtificial intelligence