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Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

Reinforcement learning. --- Reinforcement learning (Machine learning) --- Machine learning. --- Reinforcement learning --- 681.3*I26 --- 681.3*I2 --- 681.3*I2 Artificial intelligence. AI --- Artificial intelligence. AI --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Machine learning --- Reinforcement (Psychology) --- Learning classifier systems --- Apprentissage par renforcement (Intelligence artificielle) --- Learning, Machine --- Artificial intelligence --- Machine theory --- Monograph

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681.3*D4 --- #TCPW:AGGR --- Handboek/cursus --- Windows --- informatica: handboek secundair onderwijs --- 681.3*D4 Operating systems--See also {681.3*C} --- Operating systems--See also {681.3*C} --- 525.1 --- Computer-besturingssysteem --- #BSCH: vak: informatica --- Windows 95 --- #BSCH: vak : informatica --- Besturingssystemen --- Schoolbooks - Didactic material

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language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- 681.3*D32 language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- Java (Computer program language) --- 681.33 --- 681.3*D32 --- Object-oriented programming languages --- JavaSpaces technology --- Programmering --- Programming --- Java (Langage de programmation)

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Computer graphics --- Infographie --- Traitement d'images --- Vision par ordinateur --- Digital techniques --- Techniques numériques --- Digitale kunsten ; toegepaste --- Digitale grafische vormgeving ; computergrafiek --- 766:681.3 --- Gebruiksgrafiek ; digitale ; webtoepassingen ; computerprogramma's --- Computer graphics. --- Computer vision. --- Digital techniques. --- Techniques numériques --- Computer vision --- Image processing --- Digital image processing --- Digital electronics --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Artificial intelligence. Robotics. Simulation. Graphics --- 766.12.022 --- Grafische industrie en ontwerp ; drager ; digitaal ; technieken ; computer graphics (2D & 3D)