AI Summary: Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

This paper studies the problem of finding graphs that maximize the number of edges, while avoiding short cycles. It formulates graph generation as a reinforcement learning task, and compares methods like AlphaZero and tabu search. A key finding is that using a curriculum - building larger graphs from good smaller graphs - significantly improves performance. The work makes progress on an open problem in extremal graph theory.

A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environment

Explainable artificial intelligence: an analytical review - Angelov - 2021 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library

Petar Veličković on LinkedIn: Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets

Juan (@jeandut14000) / X

A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environment

Nearly 100 Mila-affiliated scientific papers accepted at NeurIPS 2023 - Mila

A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environment

State of AI Report: Compute Index V2 update!

Adam Zsolt Wagner