Recent Advances in Reinforcement Learning

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  • Recent Advances in Reinforcement Learning Book Detail

  • Author : Leslie Pack Kaelbling
  • Release Date : 2007-08-28
  • Publisher : Springer
  • Genre : Computers
  • Pages : 286
  • ISBN 13 : 0585336563
  • File Size : 87,87 MB

Recent Advances in Reinforcement Learning by Leslie Pack Kaelbling PDF Summary

Book Description: 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).

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Recent Advances in Reinforcement Learning

Recent Advances in Reinforcement Learning

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Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligen

Recent Advances in Reinforcement Learning

Recent Advances in Reinforcement Learning

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This book constitutes revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, Fran

Recent Advances in Reinforcement Learning

Recent Advances in Reinforcement Learning

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This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in Septe

Hands-On Reinforcement Learning for Games

Hands-On Reinforcement Learning for Games

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Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key FeaturesGet to