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README.md

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 # MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
 
-<!-- This is a **reinforcement learning benchmark platform** for benchmarking and MetaBBO-RL methods. You can develop your own MetaBBO-RL approach and compare it with baseline approaches built-in following the **Train-Test-Log** philosophy automated by MetaBox. -->
+[![ArXiv](https://img.shields.io/badge/arXiv-2310.08252-b31b1b.svg)](https://arxiv.org/abs/2310.08252)
 
 MetaBox is the first benchmark platform expressly tailored for developing and evaluating MetaBBO-RL methods. MetaBox offers a flexible algorithmic template that allows users to effortlessly implement their unique designs within the platform. Moreover, it provides a broad spectrum of over 300 problem instances, collected from synthetic to realistic scenarios, and an extensive library of 19 baseline methods, including both traditional black-box optimizers and recent MetaBBO-RL methods. Besides, MetaBox introduces three standardized performance metrics, enabling a more thorough assessment of the methods.
 
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 ## Installations
 
 You can access all MetaBox files with the command: