Curriculum learning improves compositionality of reinforcement learning agent across concept classes

Curriculum learning improves compositionality of reinforcement learning agent across concept classes

The compositional structure afforded by language allows humans to decompose complex phrases and map them to novel visual concepts, demonstrating flexible intelligence. Although there have been several algorithms that can demonstrate compositionality, they do not give us insights on how humans learn...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Lin, Zijun
مؤلفون آخرون:	Wen Bihan
التنسيق:	Final Year Project
اللغة:	English
منشور في:	Nanyang Technological University 2024
الموضوعات:	Computer and Information Science Reinforcement learning
الوصول للمادة أونلاين:	https://hdl.handle.net/10356/176294
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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