AILGNov 16, 2018

The Barbados 2018 List of Open Issues in Continual Learning

arXiv:1811.07004v111 citations
Originality Synthesis-oriented
AI Analysis

It addresses foundational challenges in AI for researchers, but is incremental as it synthesizes existing discussions without new results.

The paper identifies and shares key open issues in continual learning to advance artificial general intelligence, aiming to stimulate community discussion based on a 2018 workshop.

We want to make progress toward artificial general intelligence, namely general-purpose agents that autonomously learn how to competently act in complex environments. The purpose of this report is to sketch a research outline, share some of the most important open issues we are facing, and stimulate further discussion in the community. The content is based on some of our discussions during a week-long workshop held in Barbados in February 2018.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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