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介绍
深度学习玩电子游戏
在本文中,我们回顾了最近深度学习的进展,在此背景下,它们被应用于玩不同类型的视频游戏,如第一人称射击游戏、街机游戏和实时策略游戏。我们分析了不同游戏类型对深度学习系统提出的独特要求,并在将这些机器学习方法应用于视频游戏的背景下,强调了重要的开放性挑战,例如普通游戏、处理超大的决策空间和稀疏奖励。
This project forked from hijkzzz/deep-reinforcement-learning-notes
Deep Reinforcement Learning Notes
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@gitbook |
在本文中,我们回顾了最近深度学习的进展,在此背景下,它们被应用于玩不同类型的视频游戏,如第一人称射击游戏、街机游戏和实时策略游戏。我们分析了不同游戏类型对深度学习系统提出的独特要求,并在将这些机器学习方法应用于视频游戏的背景下,强调了重要的开放性挑战,例如普通游戏、处理超大的决策空间和稀疏奖励。
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