Generalization Enhancement of Visual Reinforcement Learning through Internal States

Visual reinforcement learning is important in various practical applications, such as video games, robotic manipulation, and autonomous navigation. However, a major challenge in visual reinforcement learning is the generalization to unseen environments, that is, how agents manage environments with p...

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書誌詳細

出版年:	Sensors
主要な著者:	Hanlin Yang, William Zhu, Xianchao Zhu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-07-01
主題:	visual reinforcement learning transfer learning generalization
オンライン･アクセス:	https://www.mdpi.com/1424-8220/24/14/4513