Curriculum learning improves compositionality of reinforcement learning agent across concept classes

• Main Author: Lin, Zijun
• Other Authors: Wen Bihan
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Reinforcement learning
• Online Access: https://hdl.handle.net/10356/176294
• Institution: Nanyang Technological University

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...