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... 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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