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Deep Learning for Video Game Playing
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In this article, we review recent Deep Learning advances in the context of how they have been applied to play different types of video games such as first-person shooters, arcade games, and real-time strategy games. We analyze the unique requirements that different game genres pose to a deep learning system and highlight important open challenges in the context of applying these machine learning methods to video games, such as general game playing, dealing with extremely large decision spaces and sparse rewards.
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Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games
A2C deep reinforcement learning reliably fails on four specially designed deceptive games, sometimes learning superstitious behaviors, and its failure modes differ from planning agents.
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