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Poster
in
Affinity Workshop: Blog Track

Exploring Meta-learned Curiosity Algorithms

Batsirayi Mupamhi Ziki

Halle B #2
[ ] [ Project Page ]
[ OpenReview] 
Tue 7 May 1:45 a.m. PDT — 3:45 a.m. PDT

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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