Observational Learning
Generalization, Discrimination, and Extinction
Associative Learning
Multi-input and Multi-variable systems
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
Reinforcement Schedules
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Xiaobo Hu1, Youfang Lin1, Jinwen Wang1
1Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100044, China.
多域双向转换 (MDBT) 模型通过创建处理视觉干扰的强大表示来增强视觉增强学习. 这种方法可以提高各种控制任务和机器人操纵基准的性能.
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