Memory Augmented Control Networks

ICLR 2018 Arbaaz KhanClark ZhangNikolay AtanasovKonstantinos KarydisVijay KumarDaniel D. Lee

Planning problems in partially observable environments cannot be solved directly with convolutional networks and require some form of memory. But, even memory networks with sophisticated addressing schemes are unable to learn intelligent reasoning satisfactorily due to the complexity of simultaneously learning to access memory and plan... (read more)

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