From Shortest Paths to Reinforcement Learning: A Matlab-Based Tutorial on Dynamic Programming, Brandimarte Paolo

Автор: Matthew Taylor
Название: Transfer in Reinforcement Learning Domains
ISBN: 3642018815 ISBN-13(EAN): 9783642018817
Издательство: Springer
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Цена: 158380.00 T
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Описание: Reinforcement Learning Background.- Related Work.- Empirical Domains.- Value Function Transfer via Inter-Task Mappings.- Extending Transfer via Inter-Task Mappings.- Transfer between Different Reinforcement Learning Methods.- Learning Inter-Task Mappings.- Conclusion and Future Work.

Автор: Brandimarte Paolo
Название: From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming
ISBN: 3030618692 ISBN-13(EAN): 9783030618698
Издательство: Springer
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Цена: 60550.00 T
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Описание: Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool.

Автор: Shimon Whiteson
Название: Adaptive Representations for Reinforcement Learning
ISBN: 3642422314 ISBN-13(EAN): 9783642422317
Издательство: Springer
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Цена: 104480.00 T
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Описание: Presenting the main results of new algorithms for reinforcement learning, this book also introduces a novel method for devising input representations as well as presenting a way to find a minimal set of features sufficient to describe the agent`s current state.