Exploring Meta-learned Curiosity Algorithms
Batsirayi Mupamhi Ziki
2024 Poster
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Affinity Event: Blog Track
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Affinity Event: Blog Track
Abstract
This blog post delves into Alet et al.'s ICLR 2020 paper, Meta-learning curiosity algorithms, which introduces a unique approach to meta-learning curiosity algorithms. Instead of meta-learning neural network weights, the focus is on meta-learning pieces of code, allowing it to be interpretable by humans. The post explores the two meta-learned algorithms, namely Fast Action Space Transition (FAST) and Cycle-Consistency Intrinsic Motivation (CCIM).
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