Learning State Representations in Complex Systems with Multimodal Data

27 Nov 2018Pavel SolovevVladimir AlievPavel OstyakovGleb SterkinElizaveta LogachevaStepan TroeshestovRoman SuvorovAnton MashikhinOleg KhomenkoSergey I. Nikolenko

Representation learning becomes especially important for complex systems with multimodal data sources such as cameras or sensors. Recent advances in reinforcement learning and optimal control make it possible to design control algorithms on these latent representations, but the field still lacks a large-scale standard dataset for unified comparison... (read more)

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