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This volume presents the results of the Neural Information
Processing Systems Competition track at the 2018 NeurIPS
conference. The competition follows the same format as the 2017
competition track for NIPS. Out of 21 submitted proposals, eight
competition proposals were selected, spanning the area of Robotics,
Health, Computer Vision, Natural Language Processing, Systems and
Physics. Competitions have become an integral part of advancing
state-of-the-art in artificial intelligence (AI). They exhibit one
important difference to benchmarks: Competitions test a system
end-to-end rather than evaluating only a single component; they
assess the practicability of an algorithmic solution in addition to
assessing feasibility. The eight run competitions aim at advancing
the state of the art in deep reinforcement learning, adversarial
learning, and auto machine learning, among others, including new
applications for intelligent agents in gaming and conversational
settings, energy physics, and prosthetics.
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