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alpha zero paper

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

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Descrição
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.
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PDF] Proving Theorems using Incremental Learning and Hindsight Experience Replay
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