Adaptive Representations for Reinforcement Learning 53 ROLAND VETTER and ERNST -GEORG
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ROLAND VETTER and ERNST -GEORG KRAUSE Max Delbriick Center for Molecular Medicine
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and extensions of consensus
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Variously illustrated
Adaptive Representations for Reinforcement Learning 53 ROLAND VETTER and ERNST -GEORGThis book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task. Since current methods typically rely on manually designed solution representations, agents that automatically adapt their own representations have the potential to dramatically improve performance. This book introduces two novel approaches for automatically discovering high
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