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cs.RO2025
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation
Zahin Sufiyan, Shadan Golestan, Shotaro Miwa +2
Advancements in robotics have opened possibilities to automate tasks in various fields such as manufacturing, emergency response and healthcare. However, a significant challenge th…
cs.LG2025
TLXML: Task-Level Explanation of Meta-Learning via Influence Functions
Yoshihiro Mitsuka, Shadan Golestan, Zahin Sufiyan +2
Meta-learning enables models to rapidly adapt to new tasks by leveraging prior experience, but its adaptation mechanisms remain opaque, especially regarding how past training tasks…