Assessing the Robustness of Deep Q-Network Agents to Changes on Game Object Textures

2021 20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)(2021)

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摘要
The research in autonomous agents aspires to achieve Artificial General Intelligence, where agents, like humans, are able to understand concepts and learn how to solve tasks. We would like to observe this ability on game agents as well. Recent research on autonomous agents for game playing uses a combination of Deep Neural Networks and Reinforcement Learning algorithms. Commonly, Neural Networks p...
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关键词
Degradation,Training,Correlation,Neural networks,Semantics,Games,Autonomous agents
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