Abdelhamid Mellouk

Full Professor of Networks and Telecommunications Department (IUT C/V) at the University of Paris-Est (UPEC), Abdelhamid Mellouk is currently the Technical Program Chair of the IEEE Technical Committee on Communications Software in Communications Society and IEEE Senior Member. Founder of TINC (Transport Infrastructure and Network Control) research activity, his general area is in high-speed new generation wired/wireless networking, end to end quality of service and quality of experience. Currently, he is working on routing and switching optimization in dynamic traffic networks; human and bio-inspired artificial intelligence approaches. He investigates particularly the use of artificial neuronal intelligence together with biologically inspired techniques such as reinforcement learning, to control network decision in real-time.

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Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.

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