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    Deep Reinforcement Learning in complex environments by Nardelli, N

    Published 2021
    “…Thirdly, and lastly, we present a novel RL benchmark based on one of the oldest and most complex video games ever developed: the NetHack Learning Environment (NLE). NLE provides an environment that is scalable, rich, and challenging for state-of-the-art RL, while maintaining familiarity with standard grid-worlds, and dramatically decreasing the computational requirements compared to existing environments of similar complexity and scope. …”
    Thesis
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