Feature reinforcement learning in practice
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Nguyen, Phuong
Sunehag, Peter
Hutter, Marcus
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Springer
Abstract
Following a recent surge in using history-based methods for resolving perceptual aliasing in reinforcement learning, we introduce an algorithm based on the feature reinforcement learning framework called ΦMDP [13]. To create a practical algorithm we devi
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Lecture Notes in Computer Science (LNCS)
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Restricted until
2037-12-31