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The goal of this survey is to state the current state of the art of deep reinforcement learning (DRL) research in the real-time strategy game "StarCraft" introducing the creative ways in which neural networks can be used to bring us steps closer to create AI agents that can deal with the real world. Deep reinforcement learning agents considered a promising step towards fully autonomous agents that learn from trial. The computational capabilities and the deep neural networks revolution can automatically find compact low-dimensional features of high-dimensional data. Like the rest of the top five VPN services we've reviewed, ExpressVPN offers a useful kill-switch feature that prevents network data from leaking outside of its secure VPN tunnel in the event the VPN connection fails. Data were collected using questions posted on three list serves. Our investigation is substantiated by the development of a game-theoretic model that serves as a framework usable by content providers to ponder their options to mitigate the consequences of ad avoidance techniques. We will also explain the deep reinforcement learning framework and its contributions to StarCraft. Deep reinforcement learning is an active research point in the academic community now more than ever. Discuss the families of reinforcement learning algorithms
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