# LG AI Research — [ICLR 2021] Part 1: Neural Combinatorial Optimization in ICML 2021

- Company: LG AI Research (lgresearch.ai)
- Announced: 2021-11-15
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=157
- Record: https://forck.live/items/4974-iclr-2021-part-1-neural-combinatorial-optimization-in-icml-2021
- Subject: EXAONE

Research papers on neural combinatorial optimization presented at ICML 2021, focusing on the knapsack problem.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=157:

> Here is a summary of the meaningful research papers shared at the conference, picked by three researchers from LG AI Research who participated in the ICML 2021 held online from July 18 to 24. - Part 1: Neural Combinatorial Optimization in ICML 2021 - Kanghoon Lee from Di Lab

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Record: https://forck.live/items/4974-iclr-2021-part-1-neural-combinatorial-optimization-in-icml-2021
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md
