Imported from hiyenwong/ai_collection (collection/skills/other/watts-infrastructure-for-openended-learning/SKILL.md). Install upstream with npx skills add hiyenwong/ai_collection --skill watts-infrastructure-for-openended-learning. Copyright stays with the author.

Watts: Infrastructure for Open-Ended Learning

Name: watts-infrastructure-for-openended-learning
Author: hiyenwong

arXiv ID: 2204.13250 Authors: Aaron Dharna, Charlie Summers, Rohin Dasari, Julian Togelius, Amy K. Hoover Published: 2022-04-28T01:54:53Z Abstract: This paper proposes a framework called Watts for implementing, comparing, and recombining open-ended learning (OEL) algorithms. Motivated by modularity and algorithmic flexibility, Watts atomizes the components of OEL systems to promote the study of and direct comparisons between approaches. Examining implementations of three OEL algorithms, the paper introduces the modules of the framework. The hope is for Watts to enable benchmarking and to explore new types of OEL algorithms. The repo is available at \url{https://github.com/aadharna/watts}

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This skill is generated from the arXiv paper: Watts: Infrastructure for Open-Ended Learning (2204.13250).

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[To be filled in by the user or by future automation]

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arXiv:2204.13250

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watts-infrastructure-for-openended-learning

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Watts: Infrastructure for Open-Ended Learning

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