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Learning States Representations in POMDP
Gabriella Contardo, Ludovic Denoyer, Thierry Artieres, patrick gallinari
Invalid Date (modified: Dec 23, 2013)ICLR 2014 workshop submissionreaders: everyone
Decision:submitted, no decision
Abstract:We propose to deal with sequential processes where only partial observations are available by learning a latent representation space on which policies may be accurately learned.
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