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Average Reward on AIM N=200, T=10, K=10

Average Reward on AIM N=200, T=10, K=10

83.21Average RewardLMTA

Updated 5mo ago

Evaluation results

Method	Links
LMTA2026.05		83.21
WS-Option2026.05		78.84

State-of-the-art paper

LMTA

Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning

Dataset

AIM

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Stochastic Route Planning on SOP (Stochastic Orienteering Problem) N = 500 nodes Influence Maximization on AIM N=1000 (test)Influence Maximization on AIM N=1500 (test)Influence Maximization on AIM N=2000 (test)Influence Maximization on AIM N=2500 (test)

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