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Knowledge-Free and Learning-Based Methods in Intelligent Game Playing
The book is focused on the developments and prospective challenging problems in the area of mind game playing (i.e. playing games that require mental skills) using Computational Intelligence (CI) methods, mainly neural networks, genetic/evolutionary programming and reinforcement learning. The majority of discussed game playing ideas were... | | 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... | | |
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| | Artificial Intelligence: A Modern Approach (3rd Edition)
Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is... | | Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the... |
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