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 # SFighterAI
 
-[简体中文](README_CN.md) | English | [Español](README_ES.md)
 
 This project is an AI agent trained using deep reinforcement learning to beat the final boss in the game "Street Fighter II: Special Champion Edition". The AI agent makes decisions based solely on the game screen's RGB pixel values. In the provided save state, the agent achieves a 100% win rate in the first round of the final level (overfitting occurs, see the [Running Tests](#running-tests) section for discussion).
 
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 The valuable summary of the experience in setting hyperparameters for deep reinforcement learning models in fighting games in this paper was of great help to the training process of this project.
 
 [2] [Mitigating Cowardice for Reinforcement Learning](https://ieee-cog.org/2022/assets/papers/paper_111.pdf)
-The "penalty decay" mechanism proposed in this paper effectively solved the "cowardice" problem (always avoiding opponents and not daring to even try attacking moves).
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+The "penalty decay" mechanism proposed in this paper effectively solved the "cowardice" problem (always avoiding opponents and not daring to even try attacking moves).