Aleksey Grinchuk

Research Intern

Skolkovo Institute of Science and Technology

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Scientific interests

Deep reinforcement learning, low rank decompositions in reinforcement learning with linear value-function approximation and natural language processing.

Current activities in the Laboratory

Multi-agent exploration of reinforcement learning environments based on maximization of feature matrix volume.
Benefits of treating deep reinforcement learning as linear Q-function approximation with non-linear feature encoder.

Publications since 2016