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added paper link to README

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@@ -64,4 +64,4 @@ Since we performed several thousand runs on the benchmark to find meaningful HPO
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  These runs could be used to meta-learn information about the hyperparameter landscape or warmstart HPO tools.
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  In detail, it contains each 10 runs for PPO, DQN and SAC respectively on the Atari-5 environments, four XLand gridworlds, four Brax walkers, five classic control and two Box2D environments.
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- For more information, refer to the ARLBench paper.
 
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  These runs could be used to meta-learn information about the hyperparameter landscape or warmstart HPO tools.
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  In detail, it contains each 10 runs for PPO, DQN and SAC respectively on the Atari-5 environments, four XLand gridworlds, four Brax walkers, five classic control and two Box2D environments.
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+ For more information, refer to the [ARLBench](https://arxiv.org/abs/2409.18827) paper.