Learning States Representations in POMDP

Gabriella Contardo, Ludovic Denoyer, Thierry Artieres, patrick gallinari

Invalid Date (modified: Dec 23, 2013) ICLR 2014 workshop submission readers: 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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