000			02043nam a2200301Ia 4500
000			02501nam a22003375i 4500
001			978-3-031-37345-9
003			DE-He213
005			20240319120942.0
007			cr nn 008mamaa
008			230814s2023 sz | s |||| 0|eng d
020			_a9783031373459 _9978-3-031-37345-9
082			_a6.31
100			_aRis-Ala, Rafael. _933579
245			_aFundamentals of Reinforcement Learning _cby Rafael Ris-Ala. _h[electronic resource] /
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXV, 88 p. 94 illus., 87 illus. in color. _bonline resource.
520			_aArtificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization. This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges. Understanding the Fundamentals of Reinforcement Learning will allow you to: Understand essential AI concepts Gain professional experience Interpret sequential decision problems and solve them with reinforcement learning Learn how the Q-Learning algorithm works Practice with commented Python code Find advantageous directions.
650			_aArtificial intelligence. _933580
650			_aArtificial Intelligence. _933581
650			_aMachine learning. _933582
650			_aMachine Learning. _933583
650			_aSoftware engineering. _933584
650			_aSoftware Engineering. _933585
856			_uhttps://doi.org/10.1007/978-3-031-37345-9
942			_cEBK _2ddc
999			_c15403 _d15403