Recent Advances in Reinforcement Learning is popular PDF and ePub book, written by Leslie Pack Kaelbling in 2007-08-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Recent Advances in Reinforcement Learning can be Read Online from any device for your convenience.
Recent Advances in Reinforcement Learning Book PDF Summary
Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligence and Neural Network communities. Reinforcement learning has become a primary paradigm of machine learning. It applies to problems in which an agent (such as a robot, a process controller, or an information-retrieval engine) has to learn how to behave given only information about the success of its current actions. This book is a collection of important papers that address topics including the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. These papers build on previous work and will form an important resource for students and researchers in the area. Recent Advances in Reinforcement Learning is an edited volume of peer-reviewed original research comprising twelve invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 22, Numbers 1, 2 and 3).
Detail Book of Recent Advances in Reinforcement Learning PDF
- Author : Leslie Pack Kaelbling
- Release : 28 August 2007
- Publisher : Springer
- ISBN : 9780585336565
- Genre : Computers
- Total Page : 286 pages
- Language : English
- PDF File Size : 16,6 Mb
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