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Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Modern day society relies on the operation of complex systems including aircraft, automobiles, electric power systems, economic entities, business organizations, banking and finance systems, computer networks, manufacturing systems, and industrial processes, Decision and control are responsible for ensuring that these systems perform...
Automated Scheduling and Planning: From Theory to Practice (Studies in Computational Intelligence)
Automated Scheduling and Planning: From Theory to Practice (Studies in Computational Intelligence)

Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by...

Data Mining: Foundations and Intelligent Paradigms: Volume 1:  Clustering, Association and Classification (Intelligent Systems Reference Library)
Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification (Intelligent Systems Reference Library)

However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.


The term ‘data
...

Information and Communications Technology for Competitive Intelligence
Information and Communications Technology for Competitive Intelligence
Competitive Intelligence can be described as producing and processing information about the environment of an organization for strategic purposes. To formulate a strategy, an organization needs to collect and process information about its environment—about, for instance, competitors, customers, suppliers, governments, technological trends or...
JSTL: JSP Standard Tag Library Kick Start
JSTL: JSP Standard Tag Library Kick Start

The JSP Standard Tag Library is a collection of commonly used functions and tools invaluable to JSP developers to avoid re-creating the same functions on site after site. Sun has indicated that JSP development should be based around using tag libraries going forward, and will relase JSP STL, as their official library. This book starts with an...

Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems
Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems
Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems contains over 30 contributions from leading European researchers showing the present state and future directions of computer science research.

"Methods of Artificial Intelligence and Intelligent Agents" contains 13 contributions...

Genetic Programming Theory and Practice V (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice V (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigans Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in...
Intelligent Scene Modelling Information Systems (Studies in Computational Intelligence)
Intelligent Scene Modelling Information Systems (Studies in Computational Intelligence)
Scene modeling is a very important part in Computer Graphics because it all ows creating more or less complex models to be rendered, coming from the real world or from the designer’s imagination. However, scene modeling is a very difficult task, asthere is a need of more and more complex scenes and traditional geometric modelers are not well...
Modeling and Reasoning with Bayesian Networks
Modeling and Reasoning with Bayesian Networks

Bayesian networks have received a lot of attention over the last few decades from both scientists and engineers, and across a number of fields, including artificial intelligence (AI), statistics, cognitive science, and philosophy.

Perhaps the largest impact that Bayesian networks have had is on the field of AI, where they were...

Critical Issues for the Development of Sustainable E-health Solutions (Healthcare Delivery in the Information Age)
Critical Issues for the Development of Sustainable E-health Solutions (Healthcare Delivery in the Information Age)

Pervasive healthcare is an emerging research discipline, focusing on the development and application of pervasive and ubiquitous computing technology for healthcare and wellness. Pervasive healthcare seeks to respond to a variety of pressures on healthcare systems, including the increased incidence of life-style related and chronic diseases,...

Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications
This volume presents papers from the Ninth International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2010) which took place in Riga, Latvia, in July 2010. Since this successful biennial series began in 1994, the Baltic DB&IS conferences have become an international forum of high scientific criteria for...
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
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